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:
- 28b3604054a09931c2c4376c8d7afcc7f9cfb101bd77cd6b3033dc6143a8a4a0
- Size of remote file:
- 272 MB
- SHA256:
- 96aee23c8cac8f71d4dd5b1b038085ae309861b4348abb69f715d8e2124d1bce
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