Instructions to use CLMBR/existential-there-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43b6a81526732b8e9afff47fec355e6967416dcf2705c24389e94052d4673190
- Size of remote file:
- 4.28 kB
- SHA256:
- 90f2b50b7b045baf055868994030cc276721af587b661eae5522b25e79d32c99
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