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:
- 501513959cc82998e876bc71a1e5bb032216388e18b987f0885e8746a393071e
- Size of remote file:
- 4.28 kB
- SHA256:
- c8a03e1c207c9af3c259694ecc8ab5b95eca8fec7ef56b036597b12aab416905
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