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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d4e6fd22439d28c19ae49c4a4e070b7f4daf78cf3adad65b396e91b71159d36
- Size of remote file:
- 272 MB
- SHA256:
- c4ddda11a8d308c7bf4355dfbc00de05cc6054095dab434998960bbb882246ea
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