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:
- 231fd6d41283482a071d72c27cee6940684aa14afa78f2a1db57efa0baab3367
- Size of remote file:
- 4.28 kB
- SHA256:
- 2477ca6abe17ccb110d5cfaa4d8bca13170ff55cbab0217732978a3e28d838a1
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