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:
- 41d107301fc200108b1ec435972223d1853768af12f25da2a9b82bf162ba2898
- Size of remote file:
- 544 MB
- SHA256:
- 857a14059de5af2237bbb81a51928e1ef6f32ce7f8e7c4f3d621ad2b2d16e6b7
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