Instructions to use CLMBR/old-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/old-existential-there-quantifier-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95fecc03d7c6640238c3093a5a948853a5d22451933e919ef65a725708eb38cd
- Size of remote file:
- 4.28 kB
- SHA256:
- b782a606105fa1b07d1645b4350f68bcc05ea42b4b410d9fb7ca89c361b871dc
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