Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb750a8ec7fef528968acf99bb3d1093dd29219326313edaf55e6b039ac9109f
- Size of remote file:
- 4.28 kB
- SHA256:
- 45c0d53fcdccf080e06b51a7ad4fb17226a9ead15e8bdbc32b6e4ac1c9725e49
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