Instructions to use CLMBR/superlative-quantifier-lstm-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-1 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 172ff21d80a0d9efab57b0aefe67b30c0712b36cc2739b285c095981e8cc64b0
- Size of remote file:
- 4.28 kB
- SHA256:
- 3c678ca61a2dbcfe51935bf13fc78e5084060aa15f583f0ae2460502471f803c
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