Instructions to use CLMBR/binding-c-command-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52eed78e9e5f8d4c6d59d8dd086f77c66d27639eb232dd10450f7c17577df8b0
- Size of remote file:
- 272 MB
- SHA256:
- 04f557d39071113db691a17ae1d100501b9e9f96cc1ae26d9dcf3ff20ec9dd5b
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