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:
- 26abf9858cb42c07a6c2996d9c172e59733fac74031f7df09c5ddc28d8dafbd0
- Size of remote file:
- 4.22 kB
- SHA256:
- 5cac222490947d226b3d9ce41c367c2a6df16e38a79d1dc54280ab88c3e66769
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