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:
- b3ae89a91741123d1c55a35ca248694337a6e4c1db17153946b633f0c7ec3114
- Size of remote file:
- 627 Bytes
- SHA256:
- 025ddcc49e51eef9fda6f5b1c3ee08831bb756d2609082069f42d69edc520704
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