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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32669393764ab2e40fe1651b5ae27bcaee9124195829e1e6a2aa75bed37ca3d3
- Size of remote file:
- 4.28 kB
- SHA256:
- d40c695c017b94eeb80ca81ba1bbe6b71b93360c873de202f05b839f3ba0cc21
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