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:
- 9a479fdcbc4427ae50ef21a3d3e84a661a93decb67db4575bb47024eec2aae6d
- Size of remote file:
- 272 MB
- SHA256:
- a8be942f21e6771d064a4b34c4b6c9c6b822d9be803c5330711979c62e1ce729
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