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:
- 400e3bac9e326eb653b125d851cbb4cb383b4d637639f7dea31e5ae2f9702191
- Size of remote file:
- 4.22 kB
- SHA256:
- 2767b2a44ebdc69d16bbd0e29636cbaf78b8d6b3bdc11569b038a2d7f873cd5d
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