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:
- 5944899b88299e7f8b97377b13ddbe21ccdfdf072a866bfb57851af854522257
- Size of remote file:
- 1.47 kB
- SHA256:
- 8cbe0e24ca4e35f8eede84e88ac9695a4f21032ba1abb2ccf1bcffae30c9eb76
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