Instructions to use fastai/fastbook_06_multicat_PASCAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use fastai/fastbook_06_multicat_PASCAL with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("fastai/fastbook_06_multicat_PASCAL") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 4fdde00
Add model
Browse files- .gitattributes +1 -0
- README.md +35 -0
- config.json +1 -0
- model.pkl +3 -0
.gitattributes
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README.md
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---
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tags:
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- fastai
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---
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# Amazing!
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Congratulations on hosting your fastai model on the Hugging Face Hub!
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# Some next steps
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1. Fill out this model card with more information (template below and [documentation here](https://huggingface.co/docs/hub/model-repos))!
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2. Create a demo in Gradio or Streamlit using the 🤗Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
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3. Join our fastai community on the Hugging Face Discord!
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Greetings fellow fastlearner 🤝!
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---
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# Model card
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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config.json
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{"fastai_version": "2.5.3", "fastcore_version": "1.3.27"}
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:67fd023ae14d0e158ed18c60e73b9252f27d6cddb0c8b1789416c0c07a4169b8
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size 102978463
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