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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e16294b217439ecc81764703fb4d91161674195f938bcb6108b25f8865c7f258
- Size of remote file:
- 272 MB
- SHA256:
- 182aa11c3be632d28196f4742a4c873e60adc4da8296abf1c21396502d6cec4c
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