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:
- 962f26cf16510e56e5a98952c2578f7f90efc143c77614c2c3fb8572681ac100
- Size of remote file:
- 4.22 kB
- SHA256:
- 95f6ce32547c7dd0697adc7a1bb5e328255b566bf23e922cb76aa1d4888993b4
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