Instructions to use NtDNlp/cmcbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NtDNlp/cmcbert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NtDNlp/cmcbert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3da11f1feaa4faf65fd75512e0a750c6bf9c122bc4e8455a0f9e71a30ae2102
- Size of remote file:
- 537 MB
- SHA256:
- 7c5d02d636a8b30be3fe6914b56fbed0e8bb9733647713597cdc5f02c8c530e0
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