Instructions to use CLMBR/binding-c-command-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ff3d1dc438fd95fa56a0ecdc1cbe6c3b598ee1fce352b30bf29f1b9174b4dcd
- Size of remote file:
- 272 MB
- SHA256:
- acac6f19f250ef4536b8ca4231ba1fef8babb975dcfb3bf439845555e0720a01
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