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:
- 702d87b24b831a824db43bf90e66f1627bde5b54554dc04d435e0d19c9d37957
- Size of remote file:
- 272 MB
- SHA256:
- ecd823d5012c9f70538fa3d18423ab5c3260f95a9292b0edffe27eb603951c3e
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