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:
- 887b4386de71cca2bdd8b731acc5ac947a473e6b3a20e88ccdac44adc3230bf7
- Size of remote file:
- 272 MB
- SHA256:
- bf7eeaa197b2ae59168b92fbd4882aa9ded235bcba05e9eaa10394757e3146d4
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