Instructions to use harshs21/icici with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshs21/icici with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harshs21/icici", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1304ce849b9f4cd90df8f62ee9b74586bb890a44055b8e6e7a532e3b1b823090
- Size of remote file:
- 5.27 MB
- SHA256:
- 571cc39cc6527b1aca5c267e76c49335ecce0a448b5384658664122204eae07d
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