Instructions to use CLMBR/old-existential-there-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/old-existential-there-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c95d9f2cb802aaa506fbe9963aebf204c41a8a2136f716f86c188783c5d4a97
- Size of remote file:
- 272 MB
- SHA256:
- 738b37424211a14d82a766dd1032597a0dd9e4fb7a1cb4fb0ea738fa2e0cf6df
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