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:
- a99466670ddfce988e77eccc93a69fe509d441590375deb3dc193a7e13abc43d
- Size of remote file:
- 4.22 kB
- SHA256:
- da22da35bbcffa7368894b444b2c755eed3abb9db3d28d63a11541f73db255da
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