Instructions to use larabe/weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use larabe/weights with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("larabe/weights", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18748811182b8049b5c2f77787d13e9ce9b2bd8c61f7839fd8d17009081e720f
- Size of remote file:
- 1.61 GB
- SHA256:
- 002af47ed9323d85605a541017a3714fd7fa4a8220d14e35132dde57f8e23631
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