Instructions to use CLMBR/existential-there-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/existential-there-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/existential-there-quantifier-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ee93366d266d6f8aa5dc71c4c0d4b94c355513028856b4001399c938f89f93c
- Size of remote file:
- 4.28 kB
- SHA256:
- 5c2c5e9ccda5d26b0e320555146f0b570a28d99ea4a6b3f987e78043857e350f
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