Instructions to use jsunn-y/CARE_pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsunn-y/CARE_pretrained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jsunn-y/CARE_pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a41db1d9de4ed4199437d39f9e8139c29dc04fb11ea8491404addb722addb0f
- Size of remote file:
- 440 MB
- SHA256:
- 34b9a9863d3f0e663920d567872584d8b58fcd1ad34f5102f00140e08aa41405
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