Instructions to use BKM1804/50aa3101-7954-431d-9752-32c68fe3d8be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BKM1804/50aa3101-7954-431d-9752-32c68fe3d8be with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BKM1804/50aa3101-7954-431d-9752-32c68fe3d8be", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a19bd8a5fccfee920aea8e7f9aab2d6f56cbfda06bcff1efb762b8551d46d318
- Size of remote file:
- 1.34 GB
- SHA256:
- 0fbd447909d41e6ec5bd17bab736793a913d2bada552c121debc09a60591afab
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