Instructions to use CLMBR/full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edce829c68d5f5a5500df94e0650ef29a23b2262c3d08b618284f938ef8f4433
- Size of remote file:
- 627 Bytes
- SHA256:
- 6d84ebc1b5b9691a8718b89605263cc2f1dcad4f24fd766bbda088e64942a9a7
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