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:
- d7e7b059827183e84a87606925530735fe68fbb4237d74d73affcf39a2872186
- Size of remote file:
- 272 MB
- SHA256:
- 10e19d345e5d44a08f7d79c3aed2b72c1673037a2bee6a04bcc33809a22a954b
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