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:
- 9186ec5fd8e74e4852a3bbca7618f07ebc526d55b2df1313802be78152e74eec
- Size of remote file:
- 272 MB
- SHA256:
- 582c6ef730b9e6dce7d332698e878ed8c9e5c9d3fc42e93616b76ccfc9e137f9
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