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:
- fa22ed94da8140c225255e988a1489db18da22b3481aef3264c9be30c76f2256
- Size of remote file:
- 272 MB
- SHA256:
- a815c5b160235bb8474251341dc1063fbf6f333d185726ce2a4104ec3c450b5f
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