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:
- 00589a8cd914ab859350579acbc67ab73f76ba2777844b3b666332532b6b03b9
- Size of remote file:
- 544 MB
- SHA256:
- e48915ed0fbf24c872bd3b25e07d68e93806a64cc178a96ff1aa31028e8bc7db
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