Instructions to use CLMBR/passive-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/passive-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/passive-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6d5b5044e388093664c7c0790dc396685db8a42017f925b6f61e8648132f600
- Size of remote file:
- 544 MB
- SHA256:
- ceab980e1eae566bf99196a4f204c3c1d318b036a13b52f2fcb1044f5b072ad0
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