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removes unused 'tags' tag (#1003)
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charlesfrye authored Dec 4, 2024
1 parent 8509682 commit 308b5f7
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1 change: 0 additions & 1 deletion 05_scheduling/hackernews_alerts.py
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# ---
# lambda-test: false
# tags: ["featured"]
# ---
# # Run cron jobs in the cloud to search Hacker News

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1 change: 0 additions & 1 deletion 06_gpu_and_ml/blender/blender_video.py
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# ---
# output-directory: "/tmp/render"
# tags: ["use-case-image-video-3d"]
# ---
# # Render a video with Blender on many GPUs or CPUs in parallel
#
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/controlnet/controlnet_gradio_demos.py
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# ---
# cmd: ["modal", "serve", "06_gpu_and_ml/controlnet/controlnet_gradio_demos.py"]
# tags: ["use-case-image-video-3d", "featured"]
# ---
#
# # Play with the ControlNet demos
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/dreambooth/diffusers_lora_finetune.py
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# ---
# deploy: true
# tags: ["use-case-image-video-3d", "use-case-finetuning", "featured"]
# ---

# # Create a character LoRA for Flux with Hugging Face and Gradio
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5 changes: 0 additions & 5 deletions 06_gpu_and_ml/flan_t5/flan_t5_finetune.py
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# ---
# runtimes: ["runc", "gvisor"]
# tags: ["use-case-finetuning", "use-case-lm-inference"]
# ---
#
# # Finetuning Flan-T5
#
# Example by [@anishpdalal](https://github.com/anishpdalal)
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/langchains/potus_speech_qanda.py
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# ---
# deploy: true
# args: ["--query", "How many oil barrels were released from reserves?"]
# tags: ["featured"]
# ---

# # Retrieval-augmented generation (RAG) for question-answering with LangChain
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3 changes: 0 additions & 3 deletions 06_gpu_and_ml/llm-serving/llama_cpp.py
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# ---
# tags: ["use-case-lm-inference"]
# ---
# # Run `llama.cpp` on Modal

# [`llama.cpp`](https://github.com/ggerganov/llama.cpp) is a C++ library for running LLM inference.
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3 changes: 0 additions & 3 deletions 06_gpu_and_ml/llm-serving/sgl_vlm.py
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# ---
# tags: ["use-case-lm-inference", "use-case-image-video-3d"]
# ---
# # Run LLaVA-Next on SGLang for Visual QA
#
# Vision-Language Models (VLMs) are like LLMs with eyes:
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/llm-serving/trtllm_llama.py
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# ---
# deploy: true
# tags: ["use-case-lm-inference"]
# ---

# # Serverless TensorRT-LLM (LLaMA 3 8B)
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/llm-serving/vllm_inference.py
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# ---
# cmd: ["modal", "serve", "06_gpu_and_ml/llm-serving/vllm_inference.py"]
# pytest: false
# tags: ["use-case-lm-inference", "featured"]
# ---

# # Run OpenAI-compatible LLM inference with LLaMA 3.1-8B and vLLM
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/llm-structured/instructor_generate.py
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# ---
# output-directory: "/tmp/instructor_generate"
# tags: ["use-case-lm-inference"]
# ---

# # Structured Data Extraction using `instructor`
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3 changes: 0 additions & 3 deletions 06_gpu_and_ml/llm-structured/outlines_generate.py
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# ---
# tags: ["use-case-lm-inference"]
# ---
# # Enforcing JSON outputs on LLMs

# [Outlines](https://github.com/outlines-dev/outlines) is a tool that lets you control the generation of language models to make their output more predictable.
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/obj_detection_webcam/webcam.py
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# ---
# cmd: ["modal", "serve", "06_gpu_and_ml/obj_detection_webcam/webcam.py"]
# deploy: true
# tags: ["use-case-image-video-3d", "featured"]
# ---
# # Real-time object detection via webcam
#
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/stable_diffusion/flux.py
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# ---
# output-directory: "/tmp/flux"
# args: ["--no-compile"]
# tags: ["use-case-image-video-3d", "featured"]
# ---

# # Run Flux fast on H100s with `torch.compile`
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/stable_diffusion/image_to_image.py
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# ---
# output-directory: "/tmp/stable-diffusion"
# tags: ["use-case-image-video-3d"]
# ---

# # Transform images with SDXL Turbo
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/stable_diffusion/text_to_image.py
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# ---
# output-directory: "/tmp/stable-diffusion"
# args: ["--prompt", "A 1600s oil painting of the New York City skyline"]
# tags: ["use-case-image-video-3d"]
# ---

# # Run Stable Diffusion 3.5 Large Turbo as a CLI, API, and web UI
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2 changes: 0 additions & 2 deletions 06_gpu_and_ml/tensorflow/tensorflow_tutorial.py
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# ---
# args: ["--just-run"]
# runtimes: ["runc", "gvisor"]
# tags: ["use-case-image-video-3d"]
# ---
# # TensorFlow tutorial
#
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1 change: 0 additions & 1 deletion 06_gpu_and_ml/yolo/finetune_yolo.py
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# ---
# args: ["--no-quick-check"]
# tags: ["use-case-image-video-3d", "use-case-finetuning"]
# ---
# # Fine-tune open source YOLO models for object detection
#
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1 change: 0 additions & 1 deletion 09_job_queues/doc_ocr_jobs.py
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# ---
# deploy: true
# tags: ["use-case-image-video-3d", "use-case-job-queues-batch", "featured"]
# ---
#
# # Document OCR job queue
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1 change: 0 additions & 1 deletion 10_integrations/cloud_bucket_mount_loras.py
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# ---
# output-directory: "/tmp/stable-diffusion-xl"
# deploy: true
# tags: ["use-case-image-video-3d"]
# ---
# # LoRAs Galore: Create a LoRA Playground with Modal, Gradio, and S3
#
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2 changes: 0 additions & 2 deletions 10_integrations/covid_datasette.py
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# ---
# deploy: true
# runtimes: ["runc", "gvisor"]
# tags: ["use-case-job-queues-batch"]
# ---
# # Publish interactive datasets with Datasette
#
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1 change: 0 additions & 1 deletion 10_integrations/dbt/dbt_duckdb.py
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# ---
# deploy: true
# tags: ["use-case-job-queues-batch"]
# ---
# # Build your own data warehouse with DuckDB, DBT, and Modal
#
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1 change: 0 additions & 1 deletion 10_integrations/s3_bucket_mount.py
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# ---
# output-directory: "/tmp/s3_bucket_mount"
# tags: ["use-case-job-queues-batch", "featured"]
# ---
# # Analyze NYC yellow taxi data with DuckDB on Parquet files from S3
#
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1 change: 0 additions & 1 deletion 13_sandboxes/codelangchain/agent.py
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# ---
# cmd: ["modal", "run", "13_sandboxes.codelangchain.agent", "--question", "Use gpt2 and transformers to generate text"]
# tags: ["featured", "use-case-sandboxed-code-execution"]
# pytest: false
# env: {"MODAL_AUTOMOUNT": "True"}
# ---
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1 change: 0 additions & 1 deletion 13_sandboxes/jupyter_sandbox.py
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# ---
# cmd: ["python", "13_sandboxes/jupyter_sandbox.py"]
# tags: ["use-case-sandboxed-code-execution"]
# pytest: false
# ---

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1 change: 0 additions & 1 deletion 13_sandboxes/safe_code_execution.py
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# ---
# cmd: ["python", "13_sandboxes/safe_code_execution.py"]
# tags: ["use-case-sandboxed-code-execution"]
# pytest: false
# ---

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1 change: 0 additions & 1 deletion 13_sandboxes/simple_code_interpreter.py
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# ---
# cmd: ["python", "13_sandboxes/simple_code_interpreter.py"]
# tags: ["use-case-sandboxed-code-execution"]
# pytest: false
# ---

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