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:
- fcd05db69221d2d1d9a4bd2c4cd2618a03dcdbd29565353fc74fd407583b84c7
- Size of remote file:
- 4.28 kB
- SHA256:
- 9f024da30547c4aca1d4ea047fe93106c39905d5b0095de152c5be9b4bf11970
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