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:
- 73a6a5119b3a9f8783d67565cbdcf2527a9ddf514f9c63be6f7fe9e80a831df0
- Size of remote file:
- 6.29 kB
- SHA256:
- ce4f08978f1fdec7c1457c28cc9c60274db524866fbdd50f80c325a2718b53a8
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