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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ece7abe919a9e2088f2bbba31194ef671489e072d05dc1919f947230729549e
- Size of remote file:
- 544 MB
- SHA256:
- 68aaf7a2586dbd90af452bb39eaf67367db64f75f6ea785f627fe2e932ffacb9
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