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:
- 2072adb6b9012f7c51084c5f5fdfdc6df1791ba761ddf6fd5a5f8f6ffefcea04
- Size of remote file:
- 627 Bytes
- SHA256:
- cc93c586ce8091caf2cf198f59e18c3065d66be18797ebaf1c4c2bd39e04b4f0
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