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:
- 3a1af3faa5091e1f1402ee3d843fb0e7255fb95e1a5a70894d0eb4f435f032f4
- Size of remote file:
- 627 Bytes
- SHA256:
- 03c141fa1044b619208645f3a17abd3b083f60bb19b813f28d60658c511ea6aa
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