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:
- 08df96ebad7b8fc7ed7be3ebc44d3a1da11d2fb5cec95428a63787cd2d2fe7f9
- Size of remote file:
- 4.22 kB
- SHA256:
- ec9f699d3a024ff06a97481f99b15ab7e08d19719501261b3650502f5d8272f1
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