Instructions to use kumar9/super-cool-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumar9/super-cool-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kumar9/super-cool-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 332a49040f828f99abd9b1733a108a41888cfd97171ddc7d0f69f23e0141d28e
- Size of remote file:
- 16.8 MB
- SHA256:
- 7a42a374a7f4a87da62eb20ee48496de709a067fb4ffdea53e38f9d0936e1fbe
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