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:
- f4c566fe2d824aaae2d771910372f5a864c4ced0cd17de2744af885e1a8f0bb9
- Size of remote file:
- 272 MB
- SHA256:
- b68ec03545e3b7db6fe62a29a20152079688024c01cddff5c9b4480c089cb516
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