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:
- 7047e79764843084fef1e0f8026847060427cbbcbc119ff4c0bfefec3f4412ae
- Size of remote file:
- 14.6 kB
- SHA256:
- 21627c496eaa1a372f26e18bff21494bbb61e925074f2379eff7c2893e6684df
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