Instructions to use CLMBR/old-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/old-existential-there-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/old-existential-there-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 075668c89293245c74f16a5b0bf7be3c6bcc34f3f6ff40b2a6932ad1436ef54a
- Size of remote file:
- 544 MB
- SHA256:
- bb506c40e2413ebffb39a78c043fed29d8e7bfcb8194aafe35df54cb9f53ed01
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