Instructions to use CLMBR/old-full-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-full-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-full-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 325297a9030cb843b624b1a18432766665fe85d4624fc7bb94332126fb48e59b
- Size of remote file:
- 272 MB
- SHA256:
- 9a77c518fcb2e55b6e5709719da1b6d186defa599c96a07ce772acbebcab733e
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