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:
- 69500dfdd948d25d924630ee4abb4f5c659af3c42f466d66f6f3a3dd2900e1ff
- Size of remote file:
- 4.28 kB
- SHA256:
- 69d79da406d5035e9d2b829211aec52603fca8aa3f68534a65bd08d5b23469f2
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