Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19bb124657f8d38e2a6940fcbdc3fe3dd7c0e23a8144ee1e2d954b9b8c64b411
- Size of remote file:
- 4.22 kB
- SHA256:
- 294578a0c2dd359eb501a0c21be213d18f3e3c3d9159e27363a6a0db9bd2abc5
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