Instructions to use CLMBR/existential-there-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad7d8c1702992116cf7070098cb8bc49d9235c8ea0cea9f23557e2a61232d252
- Size of remote file:
- 4.28 kB
- SHA256:
- 815d1e70e1d40a5c42b12bd6708ea2026e6c0a3feeb531bc881b20bdb53831a7
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