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:
- ee763be355c0f7cd856601c9c5ade690c0bbd02196094f7c358b199011affb3e
- Size of remote file:
- 272 MB
- SHA256:
- 1bc83013aa09fe09f0f5af4609a7f6d4aeb8849a39b2cb0e8d714ef5e1eb96fd
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