Instructions to use MaxLevinsky/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaxLevinsky/out with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MaxLevinsky/out", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4810539f0d0acc63ed7e24316ac22143889e5d2c4a2659321abd04b2260329e2
- Size of remote file:
- 5.84 kB
- SHA256:
- 07bc886c133c0852a447f4dccc08190c62cc60c46badeb433c40a2018109f251
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