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:
- 62943a82077e080a0b4d5626d8eba452e00b13d52a7e5818419923c7b5b735b3
- Size of remote file:
- 4.22 kB
- SHA256:
- fbea24c66f80117bb3f3e00e09af444a1f23d1e12da2d4fa31c1994317355613
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