Instructions to use CLMBR/existential-there-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 185de22caa5ef9b6d7bcc9feb27429d442fdf5b61e8c649c00e99bba32905884
- Size of remote file:
- 272 MB
- SHA256:
- 131eef543ec071c63bfd714ff6d9e83e544ffe2a29f305d9426c10c5f90264ac
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