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:
- 7a478ceafb69f5935b0ed4f452a2683542bf6fdbef272ed48aa0efa81a69202f
- Size of remote file:
- 4.22 kB
- SHA256:
- 89b9c1880e2706c3b4d0abf589e5274817223b4ce468bf9789ff767040d52959
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