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:
- ac5ae563d74e5ac3258c61d6801c286ac0fd5a54f08d102aa01a44ec6c7f77e0
- Size of remote file:
- 859 MB
- SHA256:
- 37492bde687b424bf705794c0e7901a895aa573a504a8ec7e3fb403613a620d0
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