Instructions to use CLMBR/binding-c-command-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44ee6207c2f348140226e3b07247bcab72f41c74f1e4595bee2b5cb489e31ea8
- Size of remote file:
- 627 Bytes
- SHA256:
- c2aee46e1e617ae5baeaca92b6be11f48e9e4d07c58b3dd04779b61b1bae8820
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