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:
- f395d669187e00ce0acaf75fa10d7154640f1b322f2554271eea9dd245509efd
- Size of remote file:
- 272 MB
- SHA256:
- 1d698a45f6f4b1ffedca15cc20b30ddb3269b8845ba7a24bb49a151b78d2e72f
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