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:
- 427f0ffd80059027a6fb508707d41688bdb53fe36375ef62707e375c74f37a7e
- Size of remote file:
- 535 MB
- SHA256:
- 67758e072cdb6081bf84b13ecec64283e591e71d3c46323daa750856d7e66ed6
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