Text Classification
Transformers
Safetensors
yield-weather-soil
crop-yield
multi-temporal
regression
yield-estimation
custom_code
Instructions to use ICICLE-AI/yield-estimation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICICLE-AI/yield-estimation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ICICLE-AI/yield-estimation", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("ICICLE-AI/yield-estimation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_code/requirements.txt from ICICLE-AI/yield-estimation: direct link, hf CLI and curl.
- Browser
- Download file 2.81 kB
-
https://huggingface.co/ICICLE-AI/yield-estimation/resolve/main/training_code/requirements.txt
- Command line
-
hf download hf://ICICLE-AI/yield-estimation/training_code/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/ICICLE-AI/yield-estimation/resolve/main/training_code/requirements.txt
2.81 kB
| annotated-types==0.7.0 | |
| anyio==4.11.0 | |
| argon2-cffi==25.1.0 | |
| argon2-cffi-bindings==25.1.0 | |
| arrow==1.4.0 | |
| ase==3.22.1 | |
| asttokens==2.2.1 | |
| async-lru==2.0.5 | |
| attrs==25.4.0 | |
| babel==2.17.0 | |
| backcall==0.2.0 | |
| beautifulsoup4==4.14.2 | |
| bleach==6.3.0 | |
| blosc2==4.3.3 | |
| certifi==2026.6.17 | |
| charset-normalizer==3.4.7 | |
| comm==0.2.3 | |
| contourpy==1.0.7 | |
| cycler==0.11.0 | |
| debugpy==1.8.17 | |
| decorator==5.1.1 | |
| defusedxml==0.7.1 | |
| exceptiongroup==1.3.1 | |
| executing==1.2.0 | |
| fastjsonschema==2.21.2 | |
| filelock==3.29.0 | |
| fonttools==4.39.3 | |
| fqdn==1.5.1 | |
| fsspec==2026.4.0 | |
| googledrivedownloader==0.4 | |
| h11==0.16.0 | |
| h5py==3.8.0 | |
| hf-xet==1.5.1 | |
| httpcore==1.0.9 | |
| httpx==0.28.1 | |
| huggingface-hub==0.32.4 | |
| idna==3.18 | |
| ipdb==0.13.7 | |
| ipykernel==7.1.0 | |
| ipython==8.12.0 | |
| ipywidgets==8.1.8 | |
| isodate==0.6.1 | |
| isoduration==20.11.0 | |
| jedi==0.18.2 | |
| Jinja2==3.1.6 | |
| joblib==1.2.0 | |
| json5==0.12.1 | |
| jsonschema==4.25.1 | |
| jsonschema-specifications==2025.9.1 | |
| jupyter==1.1.1 | |
| jupyter-console==6.6.3 | |
| jupyter-events==0.12.0 | |
| jupyter-lsp==2.3.0 | |
| jupyter_client==8.6.3 | |
| jupyter_core==5.9.1 | |
| jupyter_server==2.17.0 | |
| jupyter_server_terminals==0.5.3 | |
| jupyterlab==4.5.0 | |
| jupyterlab_pygments==0.3.0 | |
| jupyterlab_server==2.28.0 | |
| jupyterlab_widgets==3.0.16 | |
| kiwisolver==1.4.4 | |
| lark==1.3.1 | |
| llvmlite==0.39.1 | |
| MarkupSafe==3.0.3 | |
| matplotlib==3.10.7 | |
| matplotlib-inline==0.1.6 | |
| mistune==3.1.4 | |
| mpmath==1.3.0 | |
| msgpack==1.2.1 | |
| nbclient==0.10.2 | |
| nbconvert==7.16.6 | |
| nbformat==5.10.4 | |
| ndindex==1.10.1 | |
| nest-asyncio==1.6.0 | |
| networkx==3.4.2 | |
| notebook==7.5.0 | |
| notebook_shim==0.2.4 | |
| numba==0.56.4 | |
| numexpr==2.14.1 | |
| numpy==2.2.6 | |
| nvidia-cufile-cu12==1.13.1.3 | |
| nvidia-cusparselt-cu12==0.7.1 | |
| nvidia-nvjitlink-cu12==12.8.93 | |
| nvidia-nvshmem-cu12==3.3.20 | |
| overrides==7.7.0 | |
| packaging==26.0 | |
| pandas==2.3.3 | |
| pandocfilters==1.5.1 | |
| parso==0.8.3 | |
| pexpect==4.8.0 | |
| pickleshare==0.7.5 | |
| pillow==12.0.0 | |
| prometheus_client==0.23.1 | |
| prompt-toolkit==3.0.38 | |
| psutil==7.1.3 | |
| ptyprocess==0.7.0 | |
| pure-eval==0.2.2 | |
| py-cpuinfo==9.0.0 | |
| pydantic==2.13.4 | |
| pydantic_core==2.46.4 | |
| Pygments==2.14.0 | |
| pyparsing==3.0.9 | |
| python-dateutil==2.8.2 | |
| python-json-logger==4.0.0 | |
| python-louvain==0.16 | |
| pytz==2023.3 | |
| PyYAML==6.0.3 | |
| pyzmq==27.1.0 | |
| rdflib==6.3.2 | |
| referencing==0.37.0 | |
| regex==2026.6.28 | |
| requests==2.34.2 | |
| rfc3339-validator==0.1.4 | |
| rfc3986-validator==0.1.1 | |
| rfc3987-syntax==1.1.0 | |
| rpds-py==0.29.0 | |
| safetensors==0.8.0 | |
| scikit-learn==1.7.2 | |
| scipy==1.15.3 | |
| seaborn==0.12.2 | |
| Send2Trash==1.8.3 | |
| six==1.16.0 | |
| sklearn==0.0.post1 | |
| sniffio==1.3.1 | |
| soupsieve==2.8 | |
| stack-data==0.6.2 | |
| sympy==1.14.0 | |
| tables==3.10.1 | |
| terminado==0.18.1 | |
| threadpoolctl==3.1.0 | |
| tinycss2==1.4.0 | |
| tokenizers==0.21.1 | |
| toml==0.10.2 | |
| tomli==2.3.0 | |
| torch==2.12.1+cpu | |
| torch-geometric==1.7.0 | |
| torchcodec==0.8.1 | |
| torchvision==0.27.1+cpu | |
| tornado==6.5.2 | |
| tqdm==4.68.3 | |
| traitlets==5.9.0 | |
| transformers==4.48.3 | |
| typing-inspection==0.4.2 | |
| typing_extensions==4.15.0 | |
| tzdata==2025.2 | |
| uri-template==1.3.0 | |
| urllib3==2.7.0 | |
| wcwidth==0.2.6 | |
| webcolors==25.10.0 | |
| webencodings==0.5.1 | |
| websocket-client==1.9.0 | |
| widgetsnbextension==4.0.15 | |