Instructions to use seed429/trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seed429/trained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seed429/trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1f9845e44143089608418f5d9787170fffab2e2f72a678f8f6d9c1d7e077b0d
- Size of remote file:
- 535 MB
- SHA256:
- 2b33e3b4261f2ebfd381f1fdc11995f0d77836a163210ee4f819f09570d7efad
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