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:
- 77fc395a9d6693ddefc0e45b26a628c23a316821e704298ef1626f58b0f8a37f
- Size of remote file:
- 627 Bytes
- SHA256:
- d7cd78acff1010bdb9ddb8439296abd0fc2fa34245b69c5ccce5e1b5f2dd25df
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