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:
- dc558c51f04c40c35fadb238c1216b9c8b0a7242a29dc028721d63a8c2421df9
- Size of remote file:
- 4.28 kB
- SHA256:
- cf37bb7d912ae8a9946c769b3b4de39ff6b295bee8a844533b6b0027a6d28252
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