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:
- 4adb36a22539b5fd54585f04fd9b032cddf544d8b9ab2f94cb9a40c46bb99ea2
- Size of remote file:
- 14.6 kB
- SHA256:
- 94595e7a25c07bed23c9f0feea0689c89e7d800596252e3475e6d65bc70ef137
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