Text Generation
Transformers
TensorBoard
Safetensors
English
retrain-pipelines
function-calling
LLM Agent
code
unsloth
conversational
Eval Results (legacy)
Instructions to use retrain-pipelines/function_caller_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use retrain-pipelines/function_caller_lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="retrain-pipelines/function_caller_lora") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("retrain-pipelines/function_caller_lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use retrain-pipelines/function_caller_lora with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "retrain-pipelines/function_caller_lora" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "retrain-pipelines/function_caller_lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/retrain-pipelines/function_caller_lora
- SGLang
How to use retrain-pipelines/function_caller_lora with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "retrain-pipelines/function_caller_lora" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "retrain-pipelines/function_caller_lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "retrain-pipelines/function_caller_lora" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "retrain-pipelines/function_caller_lora", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio new
How to use retrain-pipelines/function_caller_lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for retrain-pipelines/function_caller_lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for retrain-pipelines/function_caller_lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for retrain-pipelines/function_caller_lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="retrain-pipelines/function_caller_lora", max_seq_length=2048, ) - Docker Model Runner
How to use retrain-pipelines/function_caller_lora with Docker Model Runner:
docker model run hf.co/retrain-pipelines/function_caller_lora
source-code for model version v0.38_20260301_162232533_UTC- retrain-pipelines 0.1.2
5bfb263 verified | absl-py==2.4.0 | |
| accelerate==1.1.1 | |
| access==1.1.10.post3 | |
| affine==2.4.0 | |
| aiofiles==24.1.0 | |
| aiohappyeyeballs==2.6.1 | |
| aiohttp==3.13.3 | |
| aiosignal==1.4.0 | |
| aiosqlite==0.22.1 | |
| alabaster==1.0.0 | |
| albucore==0.0.24 | |
| albumentations==2.0.8 | |
| ale-py==0.11.2 | |
| alembic==1.18.4 | |
| altair==5.5.0 | |
| annotated-doc==0.0.4 | |
| annotated-types==0.7.0 | |
| antlr4-python3-runtime==4.9.3 | |
| anyio==4.12.1 | |
| anywidget==0.9.21 | |
| apsw==3.51.2.0 | |
| apswutils==0.1.2 | |
| argon2-cffi==25.1.0 | |
| argon2-cffi-bindings==25.1.0 | |
| array_record==0.8.3 | |
| arrow==1.4.0 | |
| arviz==0.22.0 | |
| astropy==7.2.0 | |
| astropy-iers-data==0.2026.2.23.0.48.33 | |
| asttokens==3.0.1 | |
| astunparse==1.6.3 | |
| atpublic==5.1 | |
| attrs==25.4.0 | |
| audioread==3.1.0 | |
| Authlib==1.6.8 | |
| autograd==1.8.0 | |
| babel==2.18.0 | |
| backcall==0.2.0 | |
| beartype==0.22.9 | |
| beautifulsoup4==4.13.5 | |
| betterproto==2.0.0b6 | |
| bigframes==2.35.0 | |
| bigquery-magics==0.10.3 | |
| bitsandbytes==0.44.1 | |
| bleach==6.3.0 | |
| blinker==1.9.0 | |
| blis==1.3.3 | |
| blobfile==3.2.0 | |
| blosc2==4.0.0 | |
| bokeh==3.8.2 | |
| boto3==1.42.59 | |
| botocore==1.42.59 | |
| Bottleneck==1.4.2 | |
| bqplot==0.12.45 | |
| branca==0.8.2 | |
| brotli==1.2.0 | |
| CacheControl==0.14.4 | |
| cachetools==6.2.6 | |
| catalogue==2.0.10 | |
| certifi==2026.1.4 | |
| cffi==2.0.0 | |
| chardet==5.2.0 | |
| charset-normalizer==3.4.4 | |
| clarabel==0.11.1 | |
| click==8.3.1 | |
| click-plugins==1.1.1.2 | |
| cligj==0.7.2 | |
| cloudpathlib==0.23.0 | |
| cloudpickle==3.1.2 | |
| cmake==3.31.10 | |
| cmdstanpy==1.3.0 | |
| colorcet==3.1.0 | |
| colorlover==0.3.0 | |
| colour==0.1.5 | |
| comm==0.2.3 | |
| community==1.0.0b1 | |
| confection==0.1.5 | |
| cons==0.4.7 | |
| contourpy==1.3.3 | |
| cramjam==2.11.0 | |
| cryptography==43.0.3 | |
| cucim-cu12 @ https://pypi.nvidia.com/cucim-cu12/cucim_cu12-26.2.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | |
| cuda-bindings==12.9.4 | |
| cuda-core==0.3.2 | |
| cuda-pathfinder==1.3.5 | |
| cuda-python==12.9.4 | |
| cuda-toolkit==12.8.1 | |
| cudf-cu12==26.2.1 | |
| cudf-polars-cu12==26.2.1 | |
| cufflinks==0.17.3 | |
| cuml-cu12==26.2.0 | |
| cupy-cuda12x==14.0.1 | |
| curl_cffi==0.14.0 | |
| cuvs-cu12 @ https://pypi.nvidia.com/cuvs-cu12/cuvs_cu12-26.2.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | |
| cvxopt==1.3.2 | |
| cvxpy==1.6.7 | |
| cycler==0.12.1 | |
| cyipopt==1.5.0 | |
| cymem==2.0.13 | |
| Cython==3.0.12 | |
| dask==2026.1.1 | |
| dask-cuda==26.2.0 | |
| dask-cudf-cu12==26.2.1 | |
| dataproc-spark-connect==1.0.2 | |
| datasets==4.0.0 | |
| db-dtypes==1.5.0 | |
| dbus-python==1.2.18 | |
| debugpy==1.8.15 | |
| decorator==5.2.1 | |
| defusedxml==0.7.1 | |
| deprecation==2.1.0 | |
| diffusers==0.36.0 | |
| dill==0.3.8 | |
| distributed==2026.1.1 | |
| distributed-ucxx-cu12==0.48.0 | |
| distro==1.9.0 | |
| dlib==19.24.6 | |
| dm-tree==0.1.9 | |
| docstring_parser==0.17.0 | |
| docutils==0.21.2 | |
| dopamine_rl==4.1.2 | |
| duckdb==1.3.2 | |
| earthengine-api==1.5.24 | |
| easydict==1.13 | |
| editdistance==0.8.1 | |
| eerepr==0.1.2 | |
| einops==0.8.2 | |
| en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl#sha256=1932429db727d4bff3deed6b34cfc05df17794f4a52eeb26cf8928f7c1a0fb85 | |
| entrypoints==0.4 | |
| esda==2.8.1 | |
| et_xmlfile==2.0.0 | |
| etils==1.13.0 | |
| etuples==0.3.10 | |
| executing==2.2.1 | |
| Farama-Notifications==0.0.4 | |
| fastai==2.8.7 | |
| fastapi==0.133.0 | |
| fastcore==1.12.16 | |
| fastdownload==0.0.7 | |
| fastjsonschema==2.21.2 | |
| fastlite==0.2.4 | |
| fastprogress==1.1.5 | |
| fasttransform==0.0.2 | |
| ffmpy==1.0.0 | |
| filelock==3.24.3 | |
| fiona==1.10.1 | |
| firebase-admin==6.9.0 | |
| Flask==3.1.3 | |
| flatbuffers==25.12.19 | |
| flax==0.11.2 | |
| folium==0.20.0 | |
| fonttools==4.61.1 | |
| fqdn==1.5.1 | |
| frozendict==2.4.7 | |
| frozenlist==1.8.0 | |
| fsspec==2025.3.0 | |
| future==1.0.0 | |
| gast==0.7.0 | |
| gcsfs==2025.3.0 | |
| GDAL==3.8.4 | |
| gdown==5.2.1 | |
| geemap==0.35.3 | |
| geocoder==1.38.1 | |
| geographiclib==2.1 | |
| geopandas==1.1.2 | |
| geopy==2.4.1 | |
| giddy==2.3.8 | |
| gin-config==0.5.0 | |
| gitdb==4.0.12 | |
| GitPython==3.1.46 | |
| glob2==0.7 | |
| google==3.0.0 | |
| google-adk==1.25.1 | |
| google-ai-generativelanguage==0.6.15 | |
| google-api-core==2.30.0 | |
| google-api-python-client==2.190.0 | |
| google-auth==2.47.0 | |
| google-auth-httplib2==0.3.0 | |
| google-auth-oauthlib==1.2.4 | |
| google-cloud-aiplatform==1.138.0 | |
| google-cloud-appengine-logging==1.8.0 | |
| google-cloud-audit-log==0.4.0 | |
| google-cloud-bigquery==3.40.1 | |
| google-cloud-bigquery-connection==1.20.0 | |
| google-cloud-bigquery-storage==2.36.2 | |
| google-cloud-bigtable==2.35.0 | |
| google-cloud-core==2.5.0 | |
| google-cloud-dataproc==5.25.0 | |
| google-cloud-datastore==2.23.0 | |
| google-cloud-discoveryengine==0.13.12 | |
| google-cloud-firestore==2.23.0 | |
| google-cloud-functions==1.22.0 | |
| google-cloud-iam==2.21.0 | |
| google-cloud-language==2.19.0 | |
| google-cloud-logging==3.13.0 | |
| google-cloud-monitoring==2.29.1 | |
| google-cloud-pubsub==2.35.0 | |
| google-cloud-resource-manager==1.16.0 | |
| google-cloud-secret-manager==2.26.0 | |
| google-cloud-spanner==3.63.0 | |
| google-cloud-speech==2.36.1 | |
| google-cloud-storage==3.9.0 | |
| google-cloud-trace==1.18.0 | |
| google-cloud-translate==3.24.0 | |
| google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz | |
| google-crc32c==1.8.0 | |
| google-genai==1.64.0 | |
| google-generativeai==0.8.6 | |
| google-pasta==0.2.0 | |
| google-resumable-media==2.8.0 | |
| googleapis-common-protos==1.72.0 | |
| googledrivedownloader==1.1.0 | |
| gradio==5.50.0 | |
| gradio_client==1.14.0 | |
| grain==0.2.15 | |
| graphviz==0.21 | |
| greenlet==3.3.2 | |
| groovy==0.1.2 | |
| grpc-google-iam-v1==0.14.3 | |
| grpc-interceptor==0.15.4 | |
| grpcio==1.67.1 | |
| grpcio-health-checking==1.67.1 | |
| grpcio-status==1.71.2 | |
| grpclib==0.4.9 | |
| gspread==6.2.1 | |
| gspread-dataframe==4.0.0 | |
| gym==0.25.2 | |
| gym-notices==0.1.0 | |
| gymnasium==1.2.3 | |
| h11==0.16.0 | |
| h2==4.3.0 | |
| h5netcdf==1.8.1 | |
| h5py==3.15.1 | |
| hdbscan==0.8.41 | |
| hf-xet==1.3.0 | |
| hf_transfer==0.1.9 | |
| highspy==1.13.1 | |
| holidays==0.91 | |
| holoviews==1.22.1 | |
| hpack==4.1.0 | |
| html5lib==1.1 | |
| httpcore==1.0.9 | |
| httpimport==1.4.1 | |
| httplib2==0.31.2 | |
| httptools==0.7.1 | |
| httpx==0.28.1 | |
| httpx-sse==0.4.3 | |
| huggingface-hub==0.27.1 | |
| humanize==4.15.0 | |
| hyperframe==6.1.0 | |
| hyperopt==0.2.7 | |
| ibis-framework==9.5.0 | |
| idna==3.11 | |
| ImageIO==2.37.2 | |
| imageio-ffmpeg==0.6.0 | |
| imagesize==1.4.1 | |
| imbalanced-learn==0.14.1 | |
| immutabledict==4.3.1 | |
| importlib_metadata==8.7.1 | |
| importlib_resources==6.5.2 | |
| imutils==0.5.4 | |
| inequality==1.1.2 | |
| inflect==7.5.0 | |
| iniconfig==2.3.0 | |
| intel-cmplr-lib-ur==2025.3.2 | |
| intel-openmp==2025.3.2 | |
| ipyevents==2.0.4 | |
| ipyfilechooser==0.6.0 | |
| ipykernel==7.2.0 | |
| ipyleaflet==0.20.0 | |
| ipyparallel==8.8.0 | |
| ipython==8.21.0 | |
| ipython-genutils==0.2.0 | |
| ipython-sql==0.5.0 | |
| ipytree==0.2.2 | |
| ipywidgets==7.7.1 | |
| isoduration==20.11.0 | |
| itsdangerous==2.2.0 | |
| jaraco.classes==3.4.0 | |
| jaraco.context==6.1.0 | |
| jaraco.functools==4.4.0 | |
| jax==0.7.2 | |
| jax-cuda12-pjrt==0.7.2 | |
| jax-cuda12-plugin==0.7.2 | |
| jaxlib==0.7.2 | |
| jedi==0.19.2 | |
| jeepney==0.9.0 | |
| jieba==0.42.1 | |
| Jinja2==3.1.6 | |
| jiter==0.13.0 | |
| jmespath==1.1.0 | |
| joblib==1.5.3 | |
| jsonpatch==1.33 | |
| jsonpickle==4.1.1 | |
| jsonpointer==3.0.0 | |
| jsonschema==4.26.0 | |
| jsonschema-specifications==2025.9.1 | |
| jupyter-console==6.6.3 | |
| jupyter-events==0.12.0 | |
| jupyter-leaflet==0.20.0 | |
| jupyter_client==8.8.0 | |
| jupyter_core==5.9.1 | |
| jupyter_kernel_gateway @ git+https://github.com/googlecolab/kernel_gateway@b134e9945df25c2dcb98ade9129399be10788671 | |
| jupyter_server==2.14.0 | |
| jupyter_server_terminals==0.5.4 | |
| jupyterlab_pygments==0.3.0 | |
| jupyterlab_widgets==3.0.16 | |
| jupytext==1.19.1 | |
| kaggle==1.7.4.5 | |
| kagglehub==0.3.13 | |
| keras==3.10.0 | |
| keras-hub==0.21.1 | |
| keras-nlp==0.21.1 | |
| keyring==25.7.0 | |
| keyrings.google-artifactregistry-auth==1.1.2 | |
| kiwisolver==1.4.9 | |
| langchain==1.2.10 | |
| langchain-core==1.2.15 | |
| langgraph==1.0.9 | |
| langgraph-checkpoint==4.0.0 | |
| langgraph-prebuilt==1.0.8 | |
| langgraph-sdk==0.3.9 | |
| langsmith==0.7.6 | |
| lark==1.3.1 | |
| lazy_loader==0.4 | |
| libclang==18.1.1 | |
| libcudf-cu12==26.2.1 | |
| libcugraph-cu12==26.2.0 | |
| libcuml-cu12==26.2.0 | |
| libcuvs-cu12==26.2.0 | |
| libkvikio-cu12==26.2.0 | |
| libpysal==4.14.1 | |
| libraft-cu12==26.2.0 | |
| librmm-cu12==26.2.0 | |
| librosa==0.11.0 | |
| libucx-cu12==1.19.0 | |
| libucxx-cu12==0.48.0 | |
| lightgbm==4.6.0 | |
| linkify-it-py==2.0.3 | |
| llvmlite==0.43.0 | |
| locket==1.0.0 | |
| logical-unification==0.4.7 | |
| lxml==6.0.2 | |
| Mako==1.3.10 | |
| mapclassify==2.10.0 | |
| Markdown==3.10.2 | |
| markdown-it-py==4.0.0 | |
| MarkupSafe==3.0.3 | |
| matplotlib==3.10.0 | |
| matplotlib-inline==0.2.1 | |
| matplotlib-venn==1.1.2 | |
| mcp==1.26.0 | |
| mdit-py-plugins==0.5.0 | |
| mdurl==0.1.2 | |
| metaflow==2.19.20 | |
| mgwr==2.2.1 | |
| miniKanren==1.0.5 | |
| missingno==0.5.2 | |
| mistune==3.2.0 | |
| mizani==0.13.5 | |
| mkl==2025.3.1 | |
| ml_dtypes==0.5.4 | |
| mlxtend==0.23.4 | |
| mmh3==5.2.0 | |
| momepy==0.11.0 | |
| more-itertools==10.8.0 | |
| moviepy==1.0.3 | |
| mpmath==1.3.0 | |
| msgpack==1.1.2 | |
| multidict==6.7.1 | |
| multipledispatch==1.0.0 | |
| multiprocess==0.70.16 | |
| multitasking==0.0.12 | |
| murmurhash==1.0.15 | |
| music21==9.9.1 | |
| namex==0.1.0 | |
| narwhals==2.17.0 | |
| natsort==8.4.0 | |
| nbclassic==1.3.3 | |
| nbclient==0.10.4 | |
| nbconvert==7.17.0 | |
| nbformat==5.10.4 | |
| ndindex==1.10.1 | |
| nest-asyncio==1.6.0 | |
| networkx==3.6.1 | |
| nibabel==5.3.3 | |
| nltk==3.9.1 | |
| notebook==6.5.7 | |
| notebook_shim==0.2.4 | |
| numba==0.60.0 | |
| numba-cuda==0.22.2 | |
| numexpr==2.14.1 | |
| numpy==2.4.2 | |
| nvidia-cublas-cu12==12.1.3.1 | |
| nvidia-cuda-cccl-cu12==12.9.27 | |
| nvidia-cuda-cupti-cu12==12.1.105 | |
| nvidia-cuda-nvcc-cu12==12.5.82 | |
| nvidia-cuda-nvrtc-cu12==12.1.105 | |
| nvidia-cuda-runtime-cu12==12.1.105 | |
| nvidia-cudnn-cu12==9.1.0.70 | |
| nvidia-cufft-cu12==11.0.2.54 | |
| nvidia-curand-cu12==10.3.2.106 | |
| nvidia-cusolver-cu12==11.4.5.107 | |
| nvidia-cusparse-cu12==12.1.0.106 | |
| nvidia-libnvcomp-cu12==5.1.0.21 | |
| nvidia-ml-py==13.590.48 | |
| nvidia-nccl-cu12==2.21.5 | |
| nvidia-nvimgcodec-cu12==0.7.0.11 | |
| nvidia-nvjitlink-cu12==12.9.86 | |
| nvidia-nvtx-cu12==12.1.105 | |
| nvtx==0.2.14 | |
| nx-cugraph-cu12 @ https://pypi.nvidia.com/nx-cugraph-cu12/nx_cugraph_cu12-26.2.0-py3-none-any.whl | |
| oauth2client==4.1.3 | |
| oauthlib==3.3.1 | |
| omegaconf==2.3.0 | |
| onemkl-license==2025.3.1 | |
| openai==2.23.0 | |
| opencv-contrib-python==4.13.0.92 | |
| opencv-python==4.13.0.92 | |
| opencv-python-headless==4.13.0.92 | |
| openpyxl==3.1.5 | |
| opentelemetry-api==1.38.0 | |
| opentelemetry-exporter-gcp-logging==1.11.0a0 | |
| opentelemetry-exporter-gcp-monitoring==1.11.0a0 | |
| opentelemetry-exporter-gcp-trace==1.11.0 | |
| opentelemetry-exporter-otlp-proto-common==1.38.0 | |
| opentelemetry-exporter-otlp-proto-http==1.38.0 | |
| opentelemetry-proto==1.38.0 | |
| opentelemetry-resourcedetector-gcp==1.11.0a0 | |
| opentelemetry-sdk==1.38.0 | |
| opentelemetry-semantic-conventions==0.59b0 | |
| opt_einsum==3.4.0 | |
| optax==0.2.7 | |
| optree==0.19.0 | |
| orbax-checkpoint==0.11.33 | |
| orjson==3.11.7 | |
| ormsgpack==1.12.2 | |
| osqp==1.1.1 | |
| overrides==7.7.0 | |
| packaging==26.0 | |
| pandas==2.2.2 | |
| pandas-datareader==0.10.0 | |
| pandas-gbq==0.30.0 | |
| pandas-stubs==2.2.2.240909 | |
| pandocfilters==1.5.1 | |
| panel==1.8.7 | |
| param==2.3.2 | |
| parso==0.8.6 | |
| parsy==2.2 | |
| partd==1.4.2 | |
| patsy==1.0.2 | |
| peewee==4.0.0 | |
| peft==0.14.0 | |
| pexpect==4.9.0 | |
| pickleshare==0.7.5 | |
| pillow==11.3.0 | |
| pip3-autoremove==2.0.1 | |
| platformdirs==4.9.2 | |
| plotly==5.24.1 | |
| plotnine==0.14.5 | |
| pluggy==1.6.0 | |
| plum-dispatch==2.7.1 | |
| pointpats==2.5.5 | |
| polars==1.35.2 | |
| polars-runtime-32==1.35.2 | |
| pooch==1.9.0 | |
| portpicker==1.5.2 | |
| preshed==3.0.12 | |
| prettytable==3.17.0 | |
| proglog==0.1.12 | |
| progressbar2==4.5.0 | |
| prometheus_client==0.24.1 | |
| promise==2.3 | |
| prompt_toolkit==3.0.52 | |
| propcache==0.4.1 | |
| prophet==1.3.0 | |
| proto-plus==1.27.1 | |
| protobuf==5.29.6 | |
| psutil==5.9.5 | |
| psycopg2==2.9.11 | |
| psygnal==0.15.1 | |
| ptyprocess==0.7.0 | |
| PuLP==3.3.0 | |
| pure_eval==0.2.3 | |
| py-cpuinfo==9.0.0 | |
| py4j==0.10.9.9 | |
| pyarrow==18.1.0 | |
| pyasn1==0.6.2 | |
| pyasn1_modules==0.4.2 | |
| pycairo==1.29.0 | |
| pycocotools==2.0.11 | |
| pycparser==3.0 | |
| pycryptodomex==3.23.0 | |
| pydantic==2.12.3 | |
| pydantic-settings==2.13.1 | |
| pydantic_core==2.41.4 | |
| pydata-google-auth==1.9.1 | |
| pydot==4.0.1 | |
| pydotplus==2.0.2 | |
| PyDrive2==1.21.3 | |
| pydub==0.25.1 | |
| pyerfa==2.0.1.5 | |
| pygame==2.6.1 | |
| pygit2==1.19.1 | |
| Pygments==2.19.2 | |
| PyGObject==3.48.2 | |
| PyJWT==2.11.0 | |
| pylibcudf-cu12==26.2.1 | |
| pylibcugraph-cu12==26.2.0 | |
| pylibraft-cu12==26.2.0 | |
| pymc==5.28.0 | |
| pynndescent==0.6.0 | |
| pyogrio==0.12.1 | |
| pyomo==6.10.0 | |
| PyOpenGL==3.1.10 | |
| pyOpenSSL==24.2.1 | |
| pyparsing==3.3.2 | |
| pyperclip==1.11.0 | |
| pyproj==3.7.2 | |
| pysal==25.7 | |
| pyshp==3.0.3 | |
| PySocks==1.7.1 | |
| pyspark==4.0.2 | |
| pytensor==2.38.0 | |
| pytest==8.4.2 | |
| python-apt==0.0.0 | |
| python-box==7.4.1 | |
| python-dateutil==2.9.0.post0 | |
| python-dotenv==1.2.1 | |
| python-fasthtml==0.12.47 | |
| python-json-logger==4.0.0 | |
| python-louvain==0.16 | |
| python-multipart==0.0.22 | |
| python-slugify==8.0.4 | |
| python-snappy==0.7.3 | |
| python-utils==3.9.1 | |
| pytz==2025.2 | |
| pyviz_comms==3.0.6 | |
| PyWavelets==1.9.0 | |
| PyYAML==6.0.3 | |
| pyzmq==26.2.1 | |
| quantecon==0.11.0 | |
| raft-dask-cu12==26.2.0 | |
| rapids-dask-dependency==26.2.0 | |
| rapids-logger==0.2.3 | |
| rasterio==1.5.0 | |
| rasterstats==0.20.0 | |
| ratelim==0.1.6 | |
| referencing==0.37.0 | |
| regex==2025.11.3 | |
| requests==2.32.4 | |
| requests-oauthlib==2.0.0 | |
| requests-toolbelt==1.0.0 | |
| requirements-parser==0.9.0 | |
| # Editable install with no version control (retrain-pipelines==0.0.0) | |
| -e /content/pkg_src | |
| rfc3339-validator==0.1.4 | |
| rfc3986-validator==0.1.1 | |
| rfc3987-syntax==1.1.0 | |
| rich==14.3.3 | |
| rmm-cu12==26.2.0 | |
| roman-numerals==4.1.0 | |
| roman-numerals-py==4.1.0 | |
| rpds-py==0.30.0 | |
| rpy2==3.5.17 | |
| rsa==4.9.1 | |
| rtree==1.4.1 | |
| ruff==0.15.2 | |
| s3transfer==0.16.0 | |
| safehttpx==0.1.7 | |
| safetensors==0.7.0 | |
| scikit-image==0.25.2 | |
| scikit-learn==1.6.1 | |
| scipy==1.16.3 | |
| scooby==0.11.0 | |
| scs==3.2.11 | |
| seaborn==0.13.2 | |
| SecretStorage==3.5.0 | |
| segregation==2.5.3 | |
| semantic-version==2.10.0 | |
| Send2Trash==2.1.0 | |
| sentence-transformers==5.2.3 | |
| sentencepiece==0.2.1 | |
| sentry-sdk==2.53.0 | |
| setuptools==80.10.2 | |
| shap==0.50.0 | |
| shapely==2.1.2 | |
| shellingham==1.5.4 | |
| simple-parsing==0.1.8 | |
| simplejson==3.20.2 | |
| simsimd==6.5.13 | |
| six==1.17.0 | |
| sklearn-compat==0.1.5 | |
| sklearn-pandas==2.2.0 | |
| slicer==0.0.8 | |
| smart_open==7.5.1 | |
| smmap==5.0.2 | |
| sniffio==1.3.1 | |
| snowballstemmer==3.0.1 | |
| sortedcontainers==2.4.0 | |
| soundfile==0.13.1 | |
| soupsieve==2.8.3 | |
| soxr==1.0.0 | |
| spacy==3.8.11 | |
| spacy-legacy==3.0.12 | |
| spacy-loggers==1.0.5 | |
| spaghetti==1.7.6 | |
| spanner-graph-notebook==1.1.8 | |
| spglm==1.1.0 | |
| Sphinx==8.2.3 | |
| sphinxcontrib-applehelp==2.0.0 | |
| sphinxcontrib-devhelp==2.0.0 | |
| sphinxcontrib-htmlhelp==2.1.0 | |
| sphinxcontrib-jsmath==1.0.1 | |
| sphinxcontrib-qthelp==2.0.0 | |
| sphinxcontrib-serializinghtml==2.0.0 | |
| spint==1.0.7 | |
| splot==1.1.7 | |
| spopt==0.7.0 | |
| spreg==1.8.5 | |
| SQLAlchemy==2.0.47 | |
| sqlalchemy-spanner==1.17.2 | |
| sqlglot==25.20.2 | |
| sqlite-web==0.7.1 | |
| sqlparse==0.5.5 | |
| srsly==2.5.2 | |
| sse-starlette==3.2.0 | |
| stack-data==0.6.3 | |
| stanio==0.5.1 | |
| starlette==0.52.1 | |
| statsmodels==0.14.6 | |
| stringzilla==4.6.0 | |
| stumpy==1.13.0 | |
| sympy==1.13.1 | |
| tables==3.10.2 | |
| tabulate==0.9.0 | |
| tbb==2022.3.1 | |
| tblib==3.2.2 | |
| tcmlib==1.4.1 | |
| tenacity==9.1.4 | |
| tensorboard==2.19.0 | |
| tensorboard-data-server==0.7.2 | |
| tensorflow==2.19.0 | |
| tensorflow-datasets==4.9.9 | |
| tensorflow-hub==0.16.1 | |
| tensorflow-metadata==1.17.3 | |
| tensorflow-probability==0.25.0 | |
| tensorflow-text==2.19.0 | |
| tensorflow_decision_forests==1.12.0 | |
| tensorstore==0.1.81 | |
| termcolor==3.3.0 | |
| terminado==0.18.1 | |
| text-unidecode==1.3 | |
| textblob==0.19.0 | |
| tf-slim==1.1.0 | |
| tf_keras==2.19.0 | |
| thinc==8.3.10 | |
| threadpoolctl==3.6.0 | |
| tifffile==2026.2.20 | |
| tiktoken==0.12.0 | |
| timm==1.0.25 | |
| tinycss2==1.4.0 | |
| tobler==0.13.0 | |
| tokenizers==0.20.3 | |
| toml==0.10.2 | |
| tomlkit==0.13.3 | |
| toolz==0.12.1 | |
| torch==2.5.1+cu121 | |
| torchaudio==2.5.1+cu121 | |
| torchcodec==0.10.0+cu128 | |
| torchdata==0.11.0 | |
| torchsummary==1.5.1 | |
| torchtune==0.6.1 | |
| torchvision==0.20.1+cu121 | |
| tornado==6.5.1 | |
| tqdm==4.67.3 | |
| traitlets==5.14.3 | |
| traittypes==0.2.3 | |
| transformers==4.46.2 | |
| treelite==4.6.1 | |
| treescope==0.1.10 | |
| triton==3.1.0 | |
| trl==0.12.0 | |
| tsfresh==0.21.1 | |
| tweepy==4.16.0 | |
| typeguard==4.5.1 | |
| typer==0.24.1 | |
| typer-slim==0.24.0 | |
| types-pytz==2025.2.0.20251108 | |
| types-setuptools==80.10.0.20260124 | |
| typing-inspection==0.4.2 | |
| typing_extensions==4.15.0 | |
| tyro==1.0.8 | |
| tzdata==2025.3 | |
| tzlocal==5.3.1 | |
| uc-micro-py==1.0.3 | |
| ucxx-cu12==0.48.0 | |
| umap-learn==0.5.11 | |
| umf==1.0.3 | |
| unsloth @ git+https://github.com/unslothai/unsloth.git@0c8c5ed81e423658ab9ae81eac5aab8d18f5d7af | |
| unsloth_zoo==2024.11.5 | |
| uri-template==1.3.0 | |
| uritemplate==4.2.0 | |
| urllib3==2.5.0 | |
| uuid_utils==0.14.1 | |
| uvicorn==0.41.0 | |
| uvloop==0.22.1 | |
| vega-datasets==0.9.0 | |
| wandb==0.25.0 | |
| wasabi==1.1.3 | |
| watchdog==6.0.0 | |
| watchfiles==1.1.1 | |
| wcwidth==0.6.0 | |
| weasel==0.4.3 | |
| webcolors==25.10.0 | |
| webencodings==0.5.1 | |
| websocket-client==1.9.0 | |
| websockets==15.0.1 | |
| Werkzeug==3.1.6 | |
| wheel==0.46.3 | |
| widgetsnbextension==3.6.10 | |
| wordcloud==1.9.6 | |
| wrapt==2.1.1 | |
| wsproto==1.3.2 | |
| wurlitzer==3.1.1 | |
| xarray==2025.12.0 | |
| xarray-einstats==0.10.0 | |
| xformers==0.0.29.post1 | |
| xgboost==3.2.0 | |
| xlrd==2.0.2 | |
| xxhash==3.6.0 | |
| xyzservices==2025.11.0 | |
| yarl==1.22.0 | |
| ydf==0.15.0 | |
| yellowbrick==1.5 | |
| yfinance==0.2.66 | |
| zict==3.0.0 | |
| zipp==3.23.0 | |
| zstandard==0.25.0 | |