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:
- c2b4b57c42d5bbc5611b582914b28e1a7f64642a770f631025e9997110a8b177
- Size of remote file:
- 33.6 MB
- SHA256:
- 3c51316952bdbd198209eb16c02044804f591a2678932f1f910c43b4be181001
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