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:
- ec9cb2c7cb752329e8d493084fe8110674eb6fafe32c953969ff20f6a2e9fe7f
- Size of remote file:
- 544 MB
- SHA256:
- b6c2f716725c29007034e5c3dceffc5ec511bcd7057c4eec200e7a5e9cd15a95
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