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gary-boon
Claude Opus 4.6 (1M context)
Pin PyTorch <2.11.0 to fix CUDA driver incompatibility on HF Spaces
8b9ad4b Download requirements.txt from visualisable-ai/api: direct link, hf CLI and curl.
- Browser
- Download file 700 Bytes
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https://huggingface.co/spaces/visualisable-ai/api/resolve/main/requirements.txt
- Command line
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hf download hf://spaces/visualisable-ai/api/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/spaces/visualisable-ai/api/resolve/main/requirements.txt
700 Bytes
| # Core dependencies for HuggingFace Spaces deployment | |
| fastapi==0.104.1 | |
| uvicorn[standard]==0.24.0 | |
| websockets==12.0 | |
| python-multipart==0.0.6 | |
| pydantic>=2.0.0 # Relaxed for mistral-common compatibility | |
| # Machine Learning | |
| # torch 2.3+ required for transformers 4.44+ (pytree API compatibility) | |
| # Pinned <2.11: PyTorch 2.11.0 requires CUDA drivers newer than HF Spaces GPU provides | |
| torch>=2.3.0,<2.11.0 | |
| transformers>=4.44.0 | |
| accelerate>=0.30.0 | |
| mistral-common>=1.5.0 # Required for Devstral Tekken tokenizer | |
| # Utilities | |
| numpy>=1.24.0,<2.0 # Relaxed for mistral-common compatibility | |
| aiofiles==23.2.1 | |
| python-dotenv==1.0.0 | |
| zarr==2.14.2 | |
| numcodecs==0.11.0 | |
| # SWE-bench support | |
| datasets==2.16.1 | |
| pyarrow==14.0.2 |