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:
- 208016f6d7045c023c22e2ca1d57aca65d751b3cb7af71ca5806f5d335c5777d
- Size of remote file:
- 544 MB
- SHA256:
- 1a467a2e2836ea8dfb12f1bcc1b6c469a307b55dccfe5f450b20fd634a39d65a
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