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:
- e48e43c41e4c2f53cf29f06ac3f1edd1cbf388b518798cb7dc5989b9d03d22e5
- Size of remote file:
- 627 Bytes
- SHA256:
- 53b27ee41ea833f76fb600c3ad57835ec2af47d0cb83db937ac6e902edc73e1c
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