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:
- ed4d3d1eb6456caf5f7cb37d308099b5877ce875757697110e6aa7ed834c9c71
- Size of remote file:
- 4.22 kB
- SHA256:
- ff72e429e13669758cbcc96d587d643d554c1bca4c3b6769f4a2e9ac806e227a
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