davanstrien's picture
davanstrien HF Staff
Fix: Downgrade Python version in Dockerfile and update requirements for compatibility
803ad5c
Raw
History Blame Contribute Delete
4.21 kB
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in -o requirements.txt --python-platform linux --python-version 3.11
annotated-doc==0.0.4
# via fastapi
annotated-types==0.7.0
# via pydantic
anyio==4.12.1
# via
# httpx
# starlette
cachetools==7.0.0
# via -r requirements.in
certifi==2026.1.4
# via
# httpcore
# httpx
click==8.3.1
# via
# typer-slim
# uvicorn
cuda-bindings==12.9.4
# via torch
cuda-pathfinder==1.3.3
# via cuda-bindings
fastapi==0.128.1
# via -r requirements.in
filelock==3.20.3
# via
# huggingface-hub
# torch
# transformers
fsspec==2026.1.0
# via
# huggingface-hub
# torch
h11==0.16.0
# via
# httpcore
# uvicorn
hf-xet==1.2.0
# via huggingface-hub
httpcore==1.0.9
# via httpx
httpx==0.28.1
# via huggingface-hub
huggingface-hub==1.4.0
# via
# -r requirements.in
# sentence-transformers
# tokenizers
# transformers
idna==3.11
# via
# anyio
# httpx
jinja2==3.1.6
# via
# -r requirements.in
# torch
joblib==1.5.3
# via scikit-learn
lance-namespace==0.4.5
# via pylance
lance-namespace-urllib3-client==0.4.5
# via lance-namespace
markupsafe==3.0.3
# via
# -r requirements.in
# jinja2
mpmath==1.3.0
# via sympy
networkx==3.6.1
# via torch
numpy==2.4.2
# via
# pylance
# scikit-learn
# scipy
# sentence-transformers
# transformers
nvidia-cublas-cu12==12.8.4.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.8.90
# via torch
nvidia-cuda-nvrtc-cu12==12.8.93
# via torch
nvidia-cuda-runtime-cu12==12.8.90
# via torch
nvidia-cudnn-cu12==9.10.2.21
# via torch
nvidia-cufft-cu12==11.3.3.83
# via torch
nvidia-cufile-cu12==1.13.1.3
# via torch
nvidia-curand-cu12==10.3.9.90
# via torch
nvidia-cusolver-cu12==11.7.3.90
# via torch
nvidia-cusparse-cu12==12.5.8.93
# via
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.7.1
# via torch
nvidia-nccl-cu12==2.27.5
# via torch
nvidia-nvjitlink-cu12==12.8.93
# via
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvshmem-cu12==3.4.5
# via torch
nvidia-nvtx-cu12==12.8.90
# via torch
packaging==26.0
# via
# huggingface-hub
# transformers
polars==1.38.0
# via -r requirements.in
polars-runtime-32==1.38.0
# via polars
pyarrow==23.0.0
# via pylance
pydantic==2.12.5
# via
# fastapi
# lance-namespace-urllib3-client
pydantic-core==2.41.5
# via pydantic
pylance==1.0.4
# via -r requirements.in
python-dateutil==2.9.0.post0
# via lance-namespace-urllib3-client
python-dotenv==1.2.1
# via -r requirements.in
pyyaml==6.0.3
# via
# huggingface-hub
# transformers
regex==2026.1.15
# via transformers
safetensors==0.7.0
# via transformers
scikit-learn==1.8.0
# via sentence-transformers
scipy==1.17.0
# via
# scikit-learn
# sentence-transformers
sentence-transformers==5.2.2
# via -r requirements.in
shellingham==1.5.4
# via huggingface-hub
six==1.17.0
# via python-dateutil
starlette==0.50.0
# via fastapi
sympy==1.14.0
# via torch
threadpoolctl==3.6.0
# via scikit-learn
tokenizers==0.22.2
# via transformers
torch==2.10.0
# via sentence-transformers
tqdm==4.67.3
# via
# huggingface-hub
# sentence-transformers
# transformers
transformers==5.0.0
# via sentence-transformers
triton==3.6.0
# via torch
typer-slim==0.21.1
# via
# huggingface-hub
# transformers
typing-extensions==4.15.0
# via
# anyio
# fastapi
# huggingface-hub
# lance-namespace-urllib3-client
# pydantic
# pydantic-core
# sentence-transformers
# starlette
# torch
# typer-slim
# typing-inspection
typing-inspection==0.4.2
# via pydantic
urllib3==2.6.3
# via lance-namespace-urllib3-client
uvicorn==0.40.0
# via -r requirements.in