Instructions to use CLMBR/binding-c-command-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-c-command-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-c-command-lstm-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73364853c99822155d66858d78c29660e61eaa2d9369baf9aa8b2e0f6636b7a3
- Size of remote file:
- 4.22 kB
- SHA256:
- 19e17ee3a060eb1d57560697c64570ada9617b4dfb4c98d582a15c1aa84b1fc1
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