diff --git a/Dockerfile b/Dockerfile
index 396daba..8417070 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -18,7 +18,7 @@ WORKDIR /work
 COPY requirements.in .
 
 RUN pip install -r requirements.in
-RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_sm-0.5.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_sm-0.5.1.tar.gz
 RUN python -m spacy download en_core_web_sm
 RUN python -m spacy download en_core_web_md
 
diff --git a/README.md b/README.md
index 210b36c..5bd7394 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ pip install scispacy
 to install a model (see our full selection of available models below), run a command like the following:
 
 ```bash
-pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_sm-0.5.0.tar.gz
+pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_sm-0.5.1.tar.gz
 ```
 
 Note: We strongly recommend that you use an isolated Python environment (such as virtualenv or conda) to install scispacy.
@@ -76,14 +76,14 @@ pip install CMD-V(to paste the copied URL)
 
 | Model          | Description       | Install URL
 |:---------------|:------------------|:----------|
-| en_core_sci_sm | A full spaCy pipeline for biomedical data with a ~100k vocabulary. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_sm-0.5.0.tar.gz)|
-| en_core_sci_md |  A full spaCy pipeline for biomedical data with a ~360k vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_md-0.5.0.tar.gz)|
-| en_core_sci_lg |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_lg-0.5.0.tar.gz)|
-| en_core_sci_scibert |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and `allenai/scibert-base` as the transformer model. You may want to [use a GPU](https://spacy.io/usage#gpu) with this model. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_scibert-0.5.0.tar.gz)|
-| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_craft_md-0.5.0.tar.gz)|
-| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_jnlpba_md-0.5.0.tar.gz)|
-| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_bc5cdr_md-0.5.0.tar.gz)|
-| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_bionlp13cg_md-0.5.0.tar.gz)|
+| en_core_sci_sm | A full spaCy pipeline for biomedical data with a ~100k vocabulary. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_sm-0.5.1.tar.gz)|
+| en_core_sci_md |  A full spaCy pipeline for biomedical data with a ~360k vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_md-0.5.1.tar.gz)|
+| en_core_sci_lg |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_lg-0.5.1.tar.gz)|
+| en_core_sci_scibert |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and `allenai/scibert-base` as the transformer model. You may want to [use a GPU](https://spacy.io/usage#gpu) with this model. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_scibert-0.5.1.tar.gz)|
+| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_craft_md-0.5.1.tar.gz)|
+| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_jnlpba_md-0.5.1.tar.gz)|
+| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_bc5cdr_md-0.5.1.tar.gz)|
+| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_bionlp13cg_md-0.5.1.tar.gz)|
 
 
 ## Additional Pipeline Components
diff --git a/configs/base_parser_tagger.cfg b/configs/base_parser_tagger.cfg
index cec9e47..738c85c 100644
--- a/configs/base_parser_tagger.cfg
+++ b/configs/base_parser_tagger.cfg
@@ -55,8 +55,9 @@ upstream = "*"
 factory = "tagger"
 
 [components.tagger.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = False
 
 [components.tagger.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
diff --git a/docs/index.md b/docs/index.md
index 8579f9e..b1aab56 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -17,14 +17,14 @@ pip install <Model URL>
 
 | Model          | Description       | Install URL
 |:---------------|:------------------|:----------|
-| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_sm-0.5.0.tar.gz)|
-| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_md-0.5.0.tar.gz)|
-| en_core_sci_scibert |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and `allenai/scibert-base` as the transformer model. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_scibert-0.5.0.tar.gz)|
-| en_core_sci_lg |  A full spaCy pipeline for biomedical data with a larger vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_core_sci_lg-0.5.0.tar.gz)|
-| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_craft_md-0.5.0.tar.gz)|
-| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_jnlpba_md-0.5.0.tar.gz)|
-| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_bc5cdr_md-0.5.0.tar.gz)|
-| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.0/en_ner_bionlp13cg_md-0.5.0.tar.gz)|
+| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_sm-0.5.1.tar.gz)|
+| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_md-0.5.1.tar.gz)|
+| en_core_sci_scibert |  A full spaCy pipeline for biomedical data with a ~785k vocabulary and `allenai/scibert-base` as the transformer model. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_scibert-0.5.1.tar.gz)|
+| en_core_sci_lg |  A full spaCy pipeline for biomedical data with a larger vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_core_sci_lg-0.5.1.tar.gz)|
+| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_craft_md-0.5.1.tar.gz)|
+| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_jnlpba_md-0.5.1.tar.gz)|
+| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_bc5cdr_md-0.5.1.tar.gz)|
+| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/en_ner_bionlp13cg_md-0.5.1.tar.gz)|
 
 
 
@@ -34,18 +34,18 @@ Our models achieve performance within 3% of published state of the art dependenc
 
 | model          | UAS | LAS   | POS   | Mentions (F1) | Web UAS | 
 |:---------------|:----|:------|:------|:---|:---|
-| en_core_sci_sm | 89.27| 87.33  |  98.29  |  68.05  |  87.61  |
-| en_core_sci_md | 89.86| 87.92 |  98.43 |  69.32 |  88.05  |
-| en_core_sci_lg | 89.54| 87.66  |  98.29  |  69.52  |  87.68  |
-| en_core_sci_scibert | 92.28| 90.83  |  98.93  |  67.84  |  92.63  |
+| en_core_sci_sm | 89.03| 87.00  |  98.13  |  67.87  |  87.42  |
+| en_core_sci_md | 89.73| 87.85 |  98.40 |  69.53 |  87.79  |
+| en_core_sci_lg | 89.75| 87.79  |  98.49  |  69.69  |  87.74  |
+| en_core_sci_scibert | 92.21| 90.65  |  98.86  |  68.01  |  92.58  |
 
 
 | model          | F1 |   Entity Types|
 |:---------------|:-----|:--------|
-| en_ner_craft_md | 78.35|GGP, SO, TAXON, CHEBI, GO, CL|
-| en_ner_jnlpba_md | 70.89| DNA, CELL_TYPE, CELL_LINE, RNA, PROTEIN |
-| en_ner_bc5cdr_md | 84.70| DISEASE, CHEMICAL|
-| en_ner_bionlp13cg_md | 76.79| AMINO_ACID, ANATOMICAL_SYSTEM, CANCER, CELL, CELLULAR_COMPONENT, DEVELOPING_ANATOMICAL_STRUCTURE, GENE_OR_GENE_PRODUCT, IMMATERIAL_ANATOMICAL_ENTITY, MULTI-TISSUE_STRUCTURE, ORGAN, ORGANISM, ORGANISM_SUBDIVISION, ORGANISM_SUBSTANCE, PATHOLOGICAL_FORMATION, SIMPLE_CHEMICAL, TISSUE |
+| en_ner_craft_md | 76.75|GGP, SO, TAXON, CHEBI, GO, CL|
+| en_ner_jnlpba_md | 72.28| DNA, CELL_TYPE, CELL_LINE, RNA, PROTEIN |
+| en_ner_bc5cdr_md | 84.53| DISEASE, CHEMICAL|
+| en_ner_bionlp13cg_md | 76.57| AMINO_ACID, ANATOMICAL_SYSTEM, CANCER, CELL, CELLULAR_COMPONENT, DEVELOPING_ANATOMICAL_STRUCTURE, GENE_OR_GENE_PRODUCT, IMMATERIAL_ANATOMICAL_ENTITY, MULTI-TISSUE_STRUCTURE, ORGAN, ORGANISM, ORGANISM_SUBDIVISION, ORGANISM_SUBSTANCE, PATHOLOGICAL_FORMATION, SIMPLE_CHEMICAL, TISSUE |
 
 
 ### Example Usage
diff --git a/project.yml b/project.yml
index 2f11d1a..58a8788 100644
--- a/project.yml
+++ b/project.yml
@@ -2,8 +2,8 @@ title: "scispaCy pipeline"
 description: "All the steps needed in the scispaCy pipeline"
 
 vars:
-  version_string: "0.5.0"
-  gpu_id: "0"
+  version_string: "0.5.1"
+  gpu_id: 0
   freqs_loc_s3: "s3://ai2-s2-scispacy/data/gorc_subset.freqs"
   freqs_loc_local: "assets/gorc_subset.freqs"
   vectors_loc_s3: "s3://ai2-s2-scispacy/data/pubmed_with_header.txt.gz"
@@ -131,25 +131,31 @@ workflows:
     - parser-tagger-train-sm
     - parser-tagger-train-md
     - parser-tagger-train-lg
+    - parser-tagger-train-scibert
     - ner-train-sm
     - ner-train-md
     - ner-train-lg
     - ner-train-specialized
+    - ner-train-scibert
     - evaluate-parser-tagger-sm
     - evaluate-parser-tagger-md
     - evaluate-parser-tagger-lg
+    - evaluate-parser-tagger-scibert
     - evaluate-ner-sm
     - evaluate-ner-md
     - evaluate-ner-lg
     - evaluate-specialized-ner
+    - evaluate-ner-scibert
     - package-sm
     - package-md
     - package-lg
     - package-ner
+    - package-scibert
     - evaluate-package-sm
     - evaluate-package-md
     - evaluate-package-lg
     - evaluate-package-ner
+    - evaluate-package-scibert
 
 commands:
   - name: download
@@ -260,7 +266,7 @@ commands:
   - name: parser-tagger-train-sm
     help: "Train the base models"
     script:
-      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_sm_loc} --code ${vars.code_loc} --paths.vocab_path ${vars.vocab_sm_loc} --vars.include_static_vectors False"
+      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_sm_loc} --code ${vars.code_loc} --paths.vocab_path ${vars.vocab_sm_loc} --vars.include_static_vectors False --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_config_loc}"
       - "${vars.genia_train_spacy_loc}"
@@ -273,7 +279,7 @@ commands:
   - name: parser-tagger-train-md
     help: "Train the base models"
     script:
-      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
+      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_config_loc}"
       - "${vars.genia_train_spacy_loc}"
@@ -287,7 +293,7 @@ commands:
   - name: parser-tagger-train-lg
     help: "Train the base models"
     script:
-      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_lg_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_lg_loc} --paths.vocab_path ${vars.vocab_lg_loc} --vars.include_static_vectors True"
+      - "spacy train ${vars.parser_tagger_config_loc} --output ${vars.parser_tagger_lg_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_lg_loc} --paths.vocab_path ${vars.vocab_lg_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_config_loc}"
       - "${vars.genia_train_spacy_loc}"
@@ -303,7 +309,7 @@ commands:
     script:
       - "spacy train ${vars.parser_tagger_scibert_config_loc} --output ${vars.parser_tagger_scibert_loc} --code ${vars.code_loc} --paths.vocab_path ${vars.vocab_lg_loc} --gpu-id ${vars.gpu_id}"
     deps:
-      - "${vars.parser_tagger_config_loc}"
+      - "${vars.parser_tagger_scibert_config_loc}"
       - "${vars.genia_train_spacy_loc}"
       - "${vars.genia_dev_spacy_loc}"
       - "${vars.genia_test_spacy_loc}"
@@ -314,7 +320,7 @@ commands:
   - name: ner-train-sm
     help: "Train the main ner"
     script:
-      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_sm_loc} --code ${vars.code_loc} --paths.parser_tagger_path ${vars.parser_tagger_sm_loc}/model-best --paths.vocab_path ${vars.vocab_sm_loc} --vars.include_static_vectors False"
+      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_sm_loc} --code ${vars.code_loc} --paths.parser_tagger_path ${vars.parser_tagger_sm_loc}/model-best --paths.vocab_path ${vars.vocab_sm_loc} --vars.include_static_vectors False --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.ner_config_loc}"
       - "${vars.parser_tagger_sm_loc}/model-best"
@@ -325,7 +331,7 @@ commands:
   - name: ner-train-md
     help: "Train the main ner"
     script:
-      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
+      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.ner_config_loc}"
       - "${vars.parser_tagger_md_loc}/model-best"
@@ -337,7 +343,7 @@ commands:
   - name: ner-train-lg
     help: "Train the main ner"
     script:
-      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_lg_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_lg_loc} --paths.parser_tagger_path ${vars.parser_tagger_lg_loc}/model-best --paths.vocab_path ${vars.vocab_lg_loc} --vars.include_static_vectors True"
+      - "spacy train ${vars.ner_config_loc} --output ${vars.ner_lg_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_lg_loc} --paths.parser_tagger_path ${vars.parser_tagger_lg_loc}/model-best --paths.vocab_path ${vars.vocab_lg_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.ner_config_loc}"
       - "${vars.parser_tagger_lg_loc}/model-best"
@@ -351,7 +357,7 @@ commands:
     script:
       - "spacy train ${vars.ner_scibert_config_loc} --output ${vars.ner_scibert_loc} --code ${vars.code_loc} --paths.parser_tagger_path ${vars.parser_tagger_scibert_loc}/model-best --gpu-id ${vars.gpu_id}"
     deps:
-      - "${vars.ner_config_loc}"
+      - "${vars.ner_scibert_config_loc}"
       - "${vars.parser_tagger_scibert_loc}/model-best"
       - "${vars.corpus_pubtator_loc_local}"
     outputs:
@@ -360,10 +366,10 @@ commands:
   - name: ner-train-specialized
     help: "Train the specialized NER models"
     script:
-      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.bc5cdr_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.bc5cdr_loc_local}/train.tsv --paths.dev_path ${vars.bc5cdr_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
-      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.bionlp13cg_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.bionlp13cg_loc_local}/train.tsv --paths.dev_path ${vars.bionlp13cg_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
-      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.craft_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.craft_loc_local}/train.tsv --paths.dev_path ${vars.craft_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
-      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.jnlpba_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.jnlpba_loc_local}/train.tsv --paths.dev_path ${vars.jnlpba_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True"
+      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.bc5cdr_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.bc5cdr_loc_local}/train.tsv --paths.dev_path ${vars.bc5cdr_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
+      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.bionlp13cg_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.bionlp13cg_loc_local}/train.tsv --paths.dev_path ${vars.bionlp13cg_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
+      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.craft_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.craft_loc_local}/train.tsv --paths.dev_path ${vars.craft_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
+      - "spacy train ${vars.specialized_ner_config_loc} --output ${vars.jnlpba_md_loc} --code ${vars.code_loc} --paths.vectors ${vars.vectors_md_loc} --paths.parser_tagger_path ${vars.parser_tagger_md_loc}/model-best --paths.train_path ${vars.jnlpba_loc_local}/train.tsv --paths.dev_path ${vars.jnlpba_loc_local}/devel.tsv --paths.vocab_path ${vars.vocab_md_loc} --vars.include_static_vectors True --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.corpus_pubtator_loc_local}"
       - "${vars.bc5cdr_loc_local}/train.tsv"
@@ -389,8 +395,8 @@ commands:
   - name: evaluate-parser-tagger-sm
     help: "Evaluate the parser and tagger"
     script:
-      - "spacy evaluate ${vars.parser_tagger_sm_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_sm_loc}/model_best_results.json"
-      - "spacy evaluate ${vars.parser_tagger_sm_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_sm_loc}/model_best_results_onto.json"
+      - "spacy evaluate ${vars.parser_tagger_sm_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_sm_loc}/model_best_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.parser_tagger_sm_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_sm_loc}/model_best_results_onto.json --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_sm_loc}/model-best"
       - "${vars.genia_test_spacy_loc}"
@@ -402,8 +408,8 @@ commands:
   - name: evaluate-parser-tagger-md
     help: "Evaluate the parser and tagger"
     script:
-      - "spacy evaluate ${vars.parser_tagger_md_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_md_loc}/model_best_results.json"
-      - "spacy evaluate ${vars.parser_tagger_md_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_md_loc}/model_best_results_onto.json"
+      - "spacy evaluate ${vars.parser_tagger_md_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_md_loc}/model_best_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.parser_tagger_md_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_md_loc}/model_best_results_onto.json --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_md_loc}/model-best"
       - "${vars.genia_test_spacy_loc}"
@@ -415,8 +421,8 @@ commands:
   - name: evaluate-parser-tagger-lg
     help: "Evaluate the parser and tagger"
     script:
-      - "spacy evaluate ${vars.parser_tagger_lg_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_lg_loc}/model_best_results.json"
-      - "spacy evaluate ${vars.parser_tagger_lg_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_lg_loc}/model_best_results_onto.json"
+      - "spacy evaluate ${vars.parser_tagger_lg_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_lg_loc}/model_best_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.parser_tagger_lg_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_lg_loc}/model_best_results_onto.json --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_lg_loc}/model-best"
       - "${vars.genia_test_spacy_loc}"
@@ -428,8 +434,8 @@ commands:
   - name: evaluate-parser-tagger-scibert
     help: "Evaluate the parser and tagger scibert model"
     script:
-      - "spacy evaluate ${vars.parser_tagger_scibert_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_scibert_loc}/model_best_results.json --gpu-id ${vars.gpu_id}"
-      - "spacy evaluate ${vars.parser_tagger_scibert_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_scibert_loc}/model_best_results_onto.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.parser_tagger_scibert_loc}/model-best ${vars.genia_test_spacy_loc} --output ${vars.parser_tagger_scibert_loc}/model_best_results.json --gpu-id ${vars.gpu_id} --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.parser_tagger_scibert_loc}/model-best ${vars.ontonotes_test_spacy_loc} --output ${vars.parser_tagger_scibert_loc}/model_best_results_onto.json --gpu-id ${vars.gpu_id} --gpu-id ${vars.gpu_id}"
     deps:
       - "${vars.parser_tagger_scibert_loc}/model-best"
       - "${vars.genia_test_spacy_loc}"
@@ -441,7 +447,7 @@ commands:
   - name: evaluate-ner-sm
     help: "Evaluate NER"
     script:
-      - "python scripts/evaluate_ner.py --model_path ${vars.ner_sm_loc}/model-best --dataset medmentions-test --output ${vars.ner_sm_loc}/model_best_results.json --med_mentions_folder_path assets/"
+      - "python scripts/evaluate_ner.py --model_path ${vars.ner_sm_loc}/model-best --dataset medmentions-test --output ${vars.ner_sm_loc}/model_best_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.ner_sm_loc}"
       - "${vars.corpus_pubtator_loc_local}"
@@ -451,7 +457,7 @@ commands:
   - name: evaluate-ner-md
     help: "Evaluate NER"
     script:
-      - "python scripts/evaluate_ner.py --model_path ${vars.ner_md_loc}/model-best --dataset medmentions-test --output ${vars.ner_md_loc}/model_best_results.json --med_mentions_folder_path assets/"
+      - "python scripts/evaluate_ner.py --model_path ${vars.ner_md_loc}/model-best --dataset medmentions-test --output ${vars.ner_md_loc}/model_best_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.ner_md_loc}"
       - "${vars.corpus_pubtator_loc_local}"
@@ -461,7 +467,7 @@ commands:
   - name: evaluate-ner-lg
     help: "Evaluate NER"
     script:
-      - "python scripts/evaluate_ner.py --model_path ${vars.ner_lg_loc}/model-best --dataset medmentions-test --output ${vars.ner_lg_loc}/model_best_results.json --med_mentions_folder_path assets/"
+      - "python scripts/evaluate_ner.py --model_path ${vars.ner_lg_loc}/model-best --dataset medmentions-test --output ${vars.ner_lg_loc}/model_best_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.ner_lg_loc}"
       - "${vars.corpus_pubtator_loc_local}"
@@ -481,10 +487,10 @@ commands:
   - name: evaluate-specialized-ner
     help: "Evaluate specialize NER"
     script:
-      - "python scripts/evaluate_ner.py --model_path ${vars.bc5cdr_md_loc}/model-best --dataset ${vars.bc5cdr_loc_local}/test.tsv --output ${vars.bc5cdr_md_loc}/model_best_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.bionlp13cg_md_loc}/model-best --dataset ${vars.bionlp13cg_loc_local}/test.tsv --output ${vars.bionlp13cg_md_loc}/model_best_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.craft_md_loc}/model-best --dataset ${vars.craft_loc_local}/test.tsv --output ${vars.craft_md_loc}/model_best_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.jnlpba_md_loc}/model-best --dataset ${vars.jnlpba_loc_local}/test.tsv --output ${vars.jnlpba_md_loc}/model_best_results.json"
+      - "python scripts/evaluate_ner.py --model_path ${vars.bc5cdr_md_loc}/model-best --dataset ${vars.bc5cdr_loc_local}/test.tsv --output ${vars.bc5cdr_md_loc}/model_best_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.bionlp13cg_md_loc}/model-best --dataset ${vars.bionlp13cg_loc_local}/test.tsv --output ${vars.bionlp13cg_md_loc}/model_best_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.craft_md_loc}/model-best --dataset ${vars.craft_loc_local}/test.tsv --output ${vars.craft_md_loc}/model_best_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.jnlpba_md_loc}/model-best --dataset ${vars.jnlpba_loc_local}/test.tsv --output ${vars.jnlpba_md_loc}/model_best_results.json --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.bc5cdr_md_loc}/model-best"
       - "${vars.bionlp13cg_md_loc}/model-best"
@@ -512,9 +518,9 @@ commands:
   - name: evaluate-package-sm
     help: "Evaluate the packaged models"
     script:
-      - "spacy evaluate ${vars.package_sm_loc} ${vars.genia_test_spacy_loc} --output packages/sm_genia_results.json"
-      - "spacy evaluate ${vars.package_sm_loc} ${vars.ontonotes_test_spacy_loc} --output packages/sm_onto_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_sm_loc} --dataset medmentions-test --output packages/sm_mm_results.json --med_mentions_folder_path assets/"
+      - "spacy evaluate ${vars.package_sm_loc} ${vars.genia_test_spacy_loc} --output packages/sm_genia_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.package_sm_loc} ${vars.ontonotes_test_spacy_loc} --output packages/sm_onto_results.json --gpu-id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_sm_loc} --dataset medmentions-test --output packages/sm_mm_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.package_sm_loc}"
     outputs:
@@ -553,9 +559,9 @@ commands:
   - name: evaluate-package-md
     help: "Evaluate the packaged models"
     script:
-      - "spacy evaluate ${vars.package_md_loc} ${vars.genia_test_spacy_loc} --output packages/md_genia_results.json"
-      - "spacy evaluate ${vars.package_md_loc} ${vars.ontonotes_test_spacy_loc} --output packages/md_onto_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_md_loc} --dataset medmentions-test --output packages/md_mm_results.json --med_mentions_folder_path assets/"
+      - "spacy evaluate ${vars.package_md_loc} ${vars.genia_test_spacy_loc} --output packages/md_genia_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.package_md_loc} ${vars.ontonotes_test_spacy_loc} --output packages/md_onto_results.json --gpu-id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_md_loc} --dataset medmentions-test --output packages/md_mm_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.package_md_loc}"
     outputs:
@@ -566,9 +572,9 @@ commands:
   - name: evaluate-package-lg
     help: "Evaluate the packaged models"
     script:
-      - "spacy evaluate ${vars.package_lg_loc} ${vars.genia_test_spacy_loc} --output packages/lg_genia_results.json"
-      - "spacy evaluate ${vars.package_lg_loc} ${vars.ontonotes_test_spacy_loc} --output packages/lg_onto_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_lg_loc} --dataset medmentions-test --output packages/lg_mm_results.json --med_mentions_folder_path assets/"
+      - "spacy evaluate ${vars.package_lg_loc} ${vars.genia_test_spacy_loc} --output packages/lg_genia_results.json --gpu-id ${vars.gpu_id}"
+      - "spacy evaluate ${vars.package_lg_loc} ${vars.ontonotes_test_spacy_loc} --output packages/lg_onto_results.json --gpu-id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_lg_loc} --dataset medmentions-test --output packages/lg_mm_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.package_lg_loc}"
     outputs:
@@ -580,7 +586,7 @@ commands:
     help: "Evaluate the packaged scibert model"
     script:
       - "spacy evaluate ${vars.package_scibert_loc} ${vars.genia_test_spacy_loc} --output packages/scibert_genia_results.json --gpu-id ${vars.gpu_id}"
-      - "spacy evaluate ${vars.package_scibert_loc} ${vars.ontonotes_test_spacy_loc} --output packages/scibert_onto_results.json --gpu-id ${var.gpu_id}"
+      - "spacy evaluate ${vars.package_scibert_loc} ${vars.ontonotes_test_spacy_loc} --output packages/scibert_onto_results.json --gpu-id ${vars.gpu_id}"
       - "python scripts/evaluate_ner.py --model_path ${vars.package_scibert_loc} --dataset medmentions-test --output packages/scibert_mm_results.json --med_mentions_folder_path assets/ --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.package_scibert_loc}"
@@ -588,8 +594,6 @@ commands:
       - "packages/scibert_genia_results.json"
       - "packages/scibert_onto_results.json"
       - "packages/scibert_mm_results.json"
- 
-      
 
   - name: package-ner
     help: "Package the models"
@@ -612,10 +616,10 @@ commands:
   - name: evaluate-package-ner
     help: "Evaluate the packaged models"
     script:
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_bc5cdr_loc} --dataset ${vars.bc5cdr_loc_local}/test.tsv --output packages/bc5cdr_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_bionlp13cg_loc} --dataset ${vars.bionlp13cg_loc_local}/test.tsv --output packages/bionlp13cg_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_craft_loc} --dataset ${vars.craft_loc_local}/test.tsv --output packages/craft_results.json"
-      - "python scripts/evaluate_ner.py --model_path ${vars.package_jnlpba_loc} --dataset ${vars.jnlpba_loc_local}/test.tsv --output packages/jnlpba_results.json"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_bc5cdr_loc} --dataset ${vars.bc5cdr_loc_local}/test.tsv --output packages/bc5cdr_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_bionlp13cg_loc} --dataset ${vars.bionlp13cg_loc_local}/test.tsv --output packages/bionlp13cg_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_craft_loc} --dataset ${vars.craft_loc_local}/test.tsv --output packages/craft_results.json --gpu_id ${vars.gpu_id}"
+      - "python scripts/evaluate_ner.py --model_path ${vars.package_jnlpba_loc} --dataset ${vars.jnlpba_loc_local}/test.tsv --output packages/jnlpba_results.json --gpu_id ${vars.gpu_id}"
     deps:
       - "${vars.package_bc5cdr_loc}"
       - "${vars.package_bionlp13cg_loc}"
diff --git a/requirements.in b/requirements.in
index 8351a3a..3cc4a36 100644
--- a/requirements.in
+++ b/requirements.in
@@ -1,5 +1,5 @@
 numpy
-spacy>=3.2.0,<3.3.0
+spacy>=3.4.0,<3.5.0
 spacy-lookups-data
 pandas
 requests>=2.0.0,<3.0.0
diff --git a/scispacy/candidate_generation.py b/scispacy/candidate_generation.py
index 9287abd..e7f3981 100644
--- a/scispacy/candidate_generation.py
+++ b/scispacy/candidate_generation.py
@@ -282,10 +282,10 @@ def nmslib_knn_with_zero_vectors(
         distances.append([])
         # interleave `neighbors` and Nones in `extended_neighbors`
         extended_neighbors[empty_vectors_boolean_flags] = numpy.array(
-            neighbors, dtype="object"
+            neighbors, dtype=object
         )[:-1]
         extended_distances[empty_vectors_boolean_flags] = numpy.array(
-            distances, dtype="object"
+            distances, dtype=object
         )[:-1]
 
         return extended_neighbors, extended_distances
diff --git a/scispacy/version.py b/scispacy/version.py
index c8b11da..b7139a8 100644
--- a/scispacy/version.py
+++ b/scispacy/version.py
@@ -1,6 +1,6 @@
 _MAJOR = "0"
 _MINOR = "5"
-_REVISION = "0"
+_REVISION = "1"
 
 VERSION_SHORT = "{0}.{1}".format(_MAJOR, _MINOR)
 VERSION = "{0}.{1}.{2}".format(_MAJOR, _MINOR, _REVISION)
diff --git a/scripts/install_local_packages.py b/scripts/install_local_packages.py
new file mode 100644
index 0000000..6f1e293
--- /dev/null
+++ b/scripts/install_local_packages.py
@@ -0,0 +1,33 @@
+import os
+
+from scispacy.version import VERSION
+
+
+def main():
+    model_names = [
+        "en_core_sci_sm",
+        "en_core_sci_md",
+        "en_core_sci_lg",
+        "en_core_sci_scibert",
+        "en_ner_bc5cdr_md",
+        "en_ner_craft_md",
+        "en_ner_bionlp13cg_md",
+        "en_ner_jnlpba_md",
+    ]
+
+    full_package_paths = [
+        os.path.join(
+            "packages",
+            f"{model_name}-{VERSION}",
+            "dist",
+            f"{model_name}-{VERSION}.tar.gz",
+        )
+        for model_name in model_names
+    ]
+
+    for package_path in full_package_paths:
+        os.system(f"pip install {package_path}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/install_remote_packages.py b/scripts/install_remote_packages.py
new file mode 100644
index 0000000..60ff0f5
--- /dev/null
+++ b/scripts/install_remote_packages.py
@@ -0,0 +1,28 @@
+import os
+
+from scispacy.version import VERSION
+
+
+def main():
+    s3_prefix = "https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.1/"
+    model_names = [
+        "en_core_sci_sm",
+        "en_core_sci_md",
+        "en_core_sci_lg",
+        "en_core_sci_scibert",
+        "en_ner_bc5cdr_md",
+        "en_ner_craft_md",
+        "en_ner_bionlp13cg_md",
+        "en_ner_jnlpba_md",
+    ]
+
+    full_package_paths = [
+        f"{s3_prefix}{model_name}-{VERSION}.tar.gz" for model_name in model_names
+    ]
+
+    for package_path in full_package_paths:
+        os.system(f"pip install {package_path}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/print_out_metrics.py b/scripts/print_out_metrics.py
new file mode 100644
index 0000000..4c634b5
--- /dev/null
+++ b/scripts/print_out_metrics.py
@@ -0,0 +1,45 @@
+import os
+import json
+
+
+def main():
+    core_model_names = ["lg", "md", "sm", "scibert"]
+    ner_model_names = ["bc5cdr", "bionlp13cg", "craft", "jnlpba"]
+
+    base_path = "packages"
+    for core_model_name in core_model_names:
+        print(f"Printing results for {core_model_name}")
+        with open(
+            os.path.join(base_path, f"{core_model_name}_genia_results.json")
+        ) as _genia_results_file:
+            genia_results = json.load(_genia_results_file)
+
+        with open(
+            os.path.join(base_path, f"{core_model_name}_onto_results.json")
+        ) as _onto_results_file:
+            onto_results = json.load(_onto_results_file)
+
+        with open(
+            os.path.join(base_path, f"{core_model_name}_mm_results.json")
+        ) as _mm_results_file:
+            mm_results = json.load(_mm_results_file)
+
+        print(f"Genia tag accuracy: {genia_results['tag_acc']}")
+        print(f"Genia uas: {genia_results['dep_uas']}")
+        print(f"Genia las: {genia_results['dep_las']}")
+        print(f"Ontonotes uas: {onto_results['dep_uas']}")
+        print(f"MedMentions F1: {mm_results['f1-measure-untyped']}")
+        print()
+
+    for ner_model_name in ner_model_names:
+        print(f"Printing results for {ner_model_name}")
+        with open(
+            os.path.join(base_path, f"{ner_model_name}_results.json")
+        ) as _ner_results_file:
+            ner_results = json.load(_ner_results_file)
+
+        print(f"NER F1: {ner_results['f1-measure-overall']}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/smoke_test.py b/scripts/smoke_test.py
new file mode 100644
index 0000000..0cb1efc
--- /dev/null
+++ b/scripts/smoke_test.py
@@ -0,0 +1,89 @@
+import spacy
+from tqdm import tqdm
+
+from scispacy.abbreviation import AbbreviationDetector
+from scispacy.linking import EntityLinker
+
+
+def main():
+    print("Testing core models...")
+    print()
+    model_names = [
+        "en_core_sci_sm",
+        "en_core_sci_md",
+        "en_core_sci_lg",
+        "en_core_sci_scibert",
+        "en_ner_bc5cdr_md",
+        "en_ner_craft_md",
+        "en_ner_bionlp13cg_md",
+        "en_ner_jnlpba_md",
+    ]
+
+    models = [
+        spacy.load(model_name)
+        for model_name in tqdm(model_names, desc="Loading core models")
+    ]
+
+    text = (
+        "DNA is a very important part of the cellular structure of the body. "
+        "John uses IL gene and interleukin-2 to treat diabetes and "
+        "aspirin as proteins for arms and legs on lemurs and humans."
+    )
+
+    for model_name, model in zip(model_names, models):
+        print(f"Testing {model_name}")
+        doc = model(text)
+        for sentence in doc.sents:
+            print([t.text for t in sentence])
+            print([t.lemma_ for t in sentence])
+            print([t.pos_ for t in sentence])
+            print([t.tag_ for t in sentence])
+            print([t.dep_ for t in sentence])
+            print([t.ent_type_ for t in sentence])
+            print()
+        print()
+        input("Continue?")
+
+    print("Testing abbreivation detector...")
+    abbreviation_nlp = spacy.load("en_core_sci_sm")
+    abbreviation_nlp.add_pipe("abbreviation_detector")
+    abbreviation_text = (
+        "Spinal and bulbar muscular atrophy (SBMA) is an inherited "
+        "motor neuron disease caused by the expansion of a polyglutamine "
+        "tract within the androgen receptor (AR). SBMA can be caused by this easily."
+    )
+    abbreviation_doc = abbreviation_nlp(abbreviation_text)
+    for abbrevation in abbreviation_doc._.abbreviations:
+        print(
+            f"{abbrevation} \t ({abbrevation.start}, {abbrevation.end}) {abbrevation._.long_form}"
+        )
+    print()
+    input("Continue?")
+
+    print("Testing entity linkers...")
+    print()
+    ontology_names = ["umls", "mesh", "rxnorm", "go", "hpo"]
+    ontology_models = [spacy.load("en_core_sci_sm") for _ in ontology_names]
+    for ontology_name, ontology_model in tqdm(
+        zip(ontology_names, ontology_models), desc="Adding entity linker pipes"
+    ):
+        ontology_model.add_pipe(
+            "scispacy_linker",
+            config={"resolve_abbreviations": False, "linker_name": ontology_name},
+        )
+
+    linking_text = "Diabetes is a disease that affects humans and is treated with aspirin via a metabolic process."
+    for ontology_name, ontology_model in zip(ontology_names, ontology_models):
+        print(f"Testing {ontology_name} linker...")
+        linker_pipe = ontology_model.get_pipe("scispacy_linker")
+        doc = ontology_model(linking_text)
+        for entity in doc.ents:
+            print("Entity name: ", entity)
+            for ontology_entity in entity._.kb_ents[:1]:
+                print(linker_pipe.kb.cui_to_entity[ontology_entity[0]])
+        print()
+        input("Continue?")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/scripts/uninstall_local_packages.py b/scripts/uninstall_local_packages.py
new file mode 100644
index 0000000..d14d69f
--- /dev/null
+++ b/scripts/uninstall_local_packages.py
@@ -0,0 +1,23 @@
+import os
+
+from scispacy.version import VERSION
+
+
+def main():
+    model_names = [
+        "en_core_sci_sm",
+        "en_core_sci_md",
+        "en_core_sci_lg",
+        "en_core_sci_scibert",
+        "en_ner_bc5cdr_md",
+        "en_ner_craft_md",
+        "en_ner_bionlp13cg_md",
+        "en_ner_jnlpba_md",
+    ]
+
+    for package_name in model_names:
+        os.system(f"pip uninstall {package_name}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/setup.py b/setup.py
index c972d5c..91373dc 100644
--- a/setup.py
+++ b/setup.py
@@ -41,7 +41,7 @@
     packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
     license="Apache",
     install_requires=[
-        "spacy>=3.2.0,<3.3.0",
+        "spacy>=3.4.0,<3.5.0",
         "requests>=2.0.0,<3.0.0",
         "conllu",
         "numpy",
diff --git a/tests/test_hyponym_detector.py b/tests/test_hyponym_detector.py
index e8ab8f6..f89f8e3 100644
--- a/tests/test_hyponym_detector.py
+++ b/tests/test_hyponym_detector.py
@@ -20,7 +20,7 @@ def test_sentences(self):
         )
         doc = self.nlp(text)
         fig_trees = doc[21:23]
-        plant_species = doc[17:19]
+        plant_species = doc[16:19]
         assert doc._.hearst_patterns == [("such_as", plant_species, fig_trees)]
 
         doc = self.nlp("SARS, or other coronaviruses, are bad.")