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:
- 3882e2142ac6e54a5c9f9100817db10954f63e32ffe66c621869aca2f5eaf70e
- Size of remote file:
- 272 MB
- SHA256:
- f11ad6cb35b1e443574b6e5b2c8c4d30d1bbb016202ff00b2c2285430fda571d
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