diff --git a/examples/tutorials/curation/plot_2_train_a_model.py b/examples/tutorials/curation/plot_2_train_a_model.py index c5c57ea1ce..9f7189b8c0 100644 --- a/examples/tutorials/curation/plot_2_train_a_model.py +++ b/examples/tutorials/curation/plot_2_train_a_model.py @@ -163,4 +163,4 @@ # # Now that you have a model, you can `apply it to another sorting # `_ -# or upload it to `HuggingFaceHub `_. +# or `upload it to HuggingFaceHub `_. diff --git a/examples/tutorials/curation/plot_3_upload_a_model.py b/examples/tutorials/curation/plot_3_upload_a_model.py index 291ac8c80b..739e87d7c1 100644 --- a/examples/tutorials/curation/plot_3_upload_a_model.py +++ b/examples/tutorials/curation/plot_3_upload_a_model.py @@ -6,6 +6,8 @@ # In this tutorial we will upload a pipeline, trained in SpikeInterface, to the # `Hugging Face Hub `_ (HFH). # +# To do this, you first need to train a model. `Learn how here! `_ +# # Hugging Face Hub? # ----------------- # Hugging Face Hub (HFH) is a model sharing platform focused on AI and ML models and datasets.