Instructions to use huggingnft/etherbears with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingnft/etherbears with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huggingnft/etherbears", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025f224960e25eb31f384779632fb1187ac1f0ab294044981036aac648bf9b9d
- Size of remote file:
- 151 MB
- SHA256:
- 3d05c8ad6853f3b3a2e928562ac9bd4c4c5c25ee214d8e9045b463a79037f272
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