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:
- fe94d24afed549dd2f9dfc23170ac0c6a4f2e08532fd8cc79a164be310a6fef0
- Size of remote file:
- 33.6 MB
- SHA256:
- d715bd754ffa11a639bb0fca6a4af04789e9caa7dba0e1d37c048b92af2736f3
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