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:
- 8f9f483c34bb0f7c1497654e9196184e1b218b572e9e32f289754427d1c1976f
- Size of remote file:
- 4.28 kB
- SHA256:
- 93db10df6593eb661fc5afa4fef46a9598f3a6b3857e143efbe687bd766cc545
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