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:
- 87a294b2a1b064854616bd6cf7ec033a76f6e2b8ca1d54f631c7fdfe681ed7ad
- Size of remote file:
- 544 MB
- SHA256:
- 3a2813fa89014eb252dbc266cddb6655db3357a210270f04801188d0558b4b52
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