Instructions to use CLMBR/binding-c-command-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f0679eaf6355751261da8d48d3bf8df49136a2c7d2c787c8fd1490a61aa3144
- Size of remote file:
- 272 MB
- SHA256:
- 9c6b0b91816cbbed216b0d66778689eb2916a01b75e85224c0d321eeda2d0eb0
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