Instructions to use CLMBR/existential-there-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-4 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96c9f4ae6fd87b3117a6ed6f29231c7abe5b8da069d1cdef8c0c6b2e8debb18b
- Size of remote file:
- 4.28 kB
- SHA256:
- 4d7436bf648d8dd30573b5915c5b3a276799b84f9a11652ad8c25a42ad10be36
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