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:
- 177928b8bd82273558093133236e4cb719d6873b4275115a0df8f64a067dcb9c
- Size of remote file:
- 544 MB
- SHA256:
- 3af80d38840a680968f022f88eeb333770a1c5a02925759395622380b0a28c32
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