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:
- 83cae3e48d27f455298f04dd6aecf64ec899889f023346b4fd40cac33952c25f
- Size of remote file:
- 272 MB
- SHA256:
- 63ee91d70b10a632b0a8b6c16dc5e9919247a206e331f08e44ee58052cf2c835
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