Instructions to use CLMBR/existential-there-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4d2a4c3ca32bf57e754c08084464c5ef1d17e820099323694097e3cd5409160
- Size of remote file:
- 4.28 kB
- SHA256:
- 4588b32d50a92ea2fb0e291e2921f8333e8e1c7c6a146edffb46913872cf39c2
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