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:
- ea9222ef6e06c705943133a8e8bd999c34ee21aa915010a0a9b712d1f9b2b899
- Size of remote file:
- 272 MB
- SHA256:
- f08b75f9ff841e0a64920041aa9051a4eec697dde94e76bbdde67666258f610f
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