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:
- 9714bc0b14bba1702f67471a6d5c4d1756cbce1958a506c95a39d0751963a495
- Size of remote file:
- 272 MB
- SHA256:
- f66045bc2eebec5bb37510aa2a656e93583049093ce10865340a019c1ed600e7
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