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:
- 5e7899c0bd12c044b233a7b8909f976031ad8144de0d5b2b2ece88478c7936ae
- Size of remote file:
- 272 MB
- SHA256:
- 6829e428d24db15f3d22d494daf684aa0e8a45d71abdca4d4083115e2a30326c
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