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:
- a49c09a62ca3ae471cac78641e67c702a19a745c3797bc40285f27e9a5ad53b3
- Size of remote file:
- 4.28 kB
- SHA256:
- 610b07074d4b7ad2f72d9e549b48cd70ab62748f5958872abc0d98c834142531
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