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:
- a8bff9f0e32978ba1f1fd69d3f212ed84de70d6fb50aeec06a45adf24bf62e00
- Size of remote file:
- 272 MB
- SHA256:
- d849df6d43364bcd077d016e7cec8fd9aeb83f1970d3899dfa6a4e18786aaed9
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