Instructions to use millan24/practica1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use millan24/practica1 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("millan24/practica1") - Notebooks
- Google Colab
- Kaggle
Push FastAI model using huggingface_hub.
Browse files- model.pkl +2 -2
- pyproject.toml +1 -1
model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea03f5efe1150344a8525c518ce04d5fbd5db5ffd15f1d9bd4562dc79de5bac7
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size 87512443
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pyproject.toml
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[build-system]
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requires = ["setuptools>=40.8.0", "wheel", "python=3.12.12", "fastai=2.8.7", "fastcore=1.12.
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build-backend = "setuptools.build_meta:__legacy__"
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[build-system]
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requires = ["setuptools>=40.8.0", "wheel", "python=3.12.12", "fastai=2.8.7", "fastcore=1.12.16"]
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build-backend = "setuptools.build_meta:__legacy__"
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