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:
- b29ccfe69951407eae1c5723e087c4e52369e7affc4518c5c09250862565874e
- Size of remote file:
- 272 MB
- SHA256:
- f69a6622e8a8df8e918e8bcb476d9648b3e921e4ac7e29b93a999493cf781277
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