Rapid_ECG / cog.yaml
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# Configuration for Cog
build:
# Use a GPU because PULSE relies on a vision tower and GPU acceleration
gpu: true
python_version: "3.11"
python_packages:
# Core libraries
- "torch==2.1.2"
- "torchvision==0.16.2"
- "transformers==4.37.2"
- "tokenizers==0.15.1"
- "sentencepiece==0.1.99"
- "safetensors>=0.4.2"
- "accelerate==0.30.0"
# Vision and utility libraries
- "timm==0.6.13"
- "pillow>=9.5.0"
- "requests>=2.31.0"
- "numpy"
- "einops==0.6.1"
- "einops-exts==0.0.4"
- "huggingface_hub==0.13.4"
# LLaVA library pulled from GitHub at a fixed tag
- "llava @ git+https://github.com/haotian-liu/LLaVA@v1.2.0"
# The predictor defines how to run inference
predict: "predict.py:Predictor"