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:
- f1200d95b6d8010b2da9b339f7fb5ecd6901c9ed6e5ee4c77e9ccbc03b4ec47d
- Size of remote file:
- 272 MB
- SHA256:
- a3bcbcb72570c75437c2a8a3bdfba44faba625f9971197c05a1e8c046d65928f
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