Instructions to use CLMBR/binding-c-command-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b79511c561735159dc30fc389b58c4177862e04787c80a7adf94bb09ca555f15
- Size of remote file:
- 4.22 kB
- SHA256:
- f136e79b4def821892075ca3529830bed7dc3abaf387d303eddb7a347b2d1c79
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