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:
- db9585e1183991f615cba559702c7102ebf7ebcec7ffd5f9e00b87daef3026e3
- Size of remote file:
- 544 MB
- SHA256:
- c9abc5e9f70465ca56e3b00cc7ab6009e947a4a11acb21dfa7ba37a91273ccf7
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