Instructions to use CLMBR/existential-there-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69dadb94b4919fa6b3d6ce9b69e6598e910a74946aca2165701922f7210a3006
- Size of remote file:
- 4.28 kB
- SHA256:
- bdf92a49bac3946da629660dea3ec2dae6a8f0e003cd110aebbf7c7032d72ff7
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