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:
- 3d90c6454408bbb97ebdabd969d0f5c0f14cfba7877872144aad4770d5d26687
- Size of remote file:
- 4.28 kB
- SHA256:
- d5e2d978a2aebd4e8ce5a81aea7fa1bffeffb3260fb54179944bd99a94fd4eaf
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