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:
- 305a42cb09ea38423f0ba599e3ad081d8773bd04437828e9265dacdf8cf1069c
- Size of remote file:
- 33.6 MB
- SHA256:
- 6e25f58bafc5694f56d35f18f858954b1f6b79064e020c8e21bc9ea0675041ec
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