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:
- e56fc5cdb2a962cf714d4501cd1c38f284c4641b10052dcfe4a07722c58a92c3
- Size of remote file:
- 4.28 kB
- SHA256:
- c7e69843dfa2a158909634d6bd0895413035dae1f5f6fb4acb5a1de195683a6b
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