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:
- 8772aa26a66c4a0a4148370bd9782c4836de594ee7f3fd944bca9039aebfc337
- Size of remote file:
- 272 MB
- SHA256:
- 654f3b1b4c81ffeb229e95bd90f322446df17090b7d0bd52112d2dfb94db646f
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