Instructions to use kamalkraj/coco-lm-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamalkraj/coco-lm-deberta-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kamalkraj/coco-lm-deberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kamalkraj/coco-lm-deberta-base: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/kamalkraj/coco-lm-deberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kamalkraj/coco-lm-deberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kamalkraj/coco-lm-deberta-base/resolve/main/pytorch_model.bin
495 MB
- Xet hash:
- f99f570613423ec4aea21c10772600a4a506ebf220f7c3feb504a55c9939102d
- Size of remote file:
- 495 MB
- SHA256:
- cd44dc3272427c3dfeafa41821c8bfa985d472313c59b2caa6603c3ea66c79ee
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