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:
- 1c86c8c13bd607ff2cd322d6aa9c9fa10a827e3e2f32eec49abd790315ec87ec
- Size of remote file:
- 272 MB
- SHA256:
- 91e70f96c1f9f1b410badb645462a962df59031f47f03fd805a6153165f36cf0
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