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:
- 366dc9b4cbf2d0c6d98949357333df3f84feb7d8db221913ebb64b53a75402e8
- Size of remote file:
- 1.47 kB
- SHA256:
- 9dd3e9dae958939eaae42c6a276c2a0c75161ff6a34dbea39d2c35cd7894bf49
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