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:
- 8e44de573d49c82d7a32344ea30fd212d0b52e6bc319772dfce9a0261acfe429
- Size of remote file:
- 544 MB
- SHA256:
- c4e84b876ecdafbf6c5b5495215f6aaa46d3b30c96e3959275b44565af94aa88
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