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:
- d0d075f416ddf2095c696d66074b6a81c52531d0f1e6db351625838c873f4148
- Size of remote file:
- 272 MB
- SHA256:
- 122b09d990aaf550477d6a57632007c1a064813ec782bfa0ad1178cca495ad1c
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