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:
- 9637636503971ff1226c92a5d183e4c3a0a96625e6249eefe9bf9c1a60abf06f
- Size of remote file:
- 272 MB
- SHA256:
- 2bdf897dbaa39f32ea90c67d5dd65ba2c8e36be54b37c823b3043a4f338fd725
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