Instructions to use CLMBR/existential-there-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-3 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a438ccea9e6584c6b37ce147c4911c7956e2ab9e5dd3a8ef20792210f110e11e
- Size of remote file:
- 272 MB
- SHA256:
- e625d245f4ea24fa1e6e08e34bdf03b17be6e6f77b8697caea9f825b67950a07
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