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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7de5ad9da83f3edec8c2a3d72c8a48a507d0e7717c028bca2c2e6db8df486cf
- Size of remote file:
- 4.28 kB
- SHA256:
- ccda36c8f58f2a030e883dff91f9b1e590098df6e3f5513b0e2651c855b34a89
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