Instructions to use jmcinern/extenda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmcinern/extenda with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jmcinern/extenda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26231c2d93595c247b1aaa44c2d786833171abec5467d26115b2e1515e6e2a4c
- Size of remote file:
- 15.8 MB
- SHA256:
- fd9940e320a71d922a4cd260acc23daaf05c85a8c385f63ec6b71a04f67dda5d
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