Instructions to use fastai/fastbook_02_bears_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use fastai/fastbook_02_bears_classifier with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("fastai/fastbook_02_bears_classifier") - Notebooks
- Google Colab
- Kaggle
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Download README.md from fastai/fastbook_02_bears_classifier: direct link, hf CLI and curl.
- Browser
- Download file 707 Bytes
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https://huggingface.co/fastai/fastbook_02_bears_classifier/resolve/main/README.md
- Command line
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hf download hf://fastai/fastbook_02_bears_classifier/README.md
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curl -L -o README.md https://huggingface.co/fastai/fastbook_02_bears_classifier/resolve/main/README.md
707 Bytes
| license: gpl-3.0 | |
| tags: | |
| - fastai | |
| - image-classification | |
| # Amazing! | |
| Congratulations on hosting your fastai model on the Hugging Face Hub! | |
| # Some next steps | |
| 1. Fill out this model card with more information (template below and [documentation here](https://huggingface.co/docs/hub/model-repos))! | |
| 2. Create a demo in Gradio or Streamlit using the 🤗Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)). | |
| 3. Join our fastai community on the Hugging Face Discord! | |
| Greetings fellow fastlearner 🤝! | |
| --- | |
| # Model card | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |