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:
- ba6c73e0b1025bbb0542acbab923158fb528a207e2bff20f07e91c3098921048
- Size of remote file:
- 272 MB
- SHA256:
- 5b18d20266f3e4194c9367ba7a2f10624271a52ba0806c417090cc83be3a7e5c
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