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:
- f7055b6e907de40fcd8536970e26c6e5b15f574260c9f10f17cd6acd0dc68529
- Size of remote file:
- 4.22 kB
- SHA256:
- 15d9cc358b6dd97ae0d1b74b20f6a1e9d935c6e56e76695346388f3c46c0ebaa
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