Instructions to use CLMBR/superlative-quantifier-lstm-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/optimizer.pt from CLMBR/superlative-quantifier-lstm-3: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/superlative-quantifier-lstm-3/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/superlative-quantifier-lstm-3/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- 022b53c383ce620a6a195acb845d6187f2b971507966bfc3d98e95bc81f38185
- Size of remote file:
- 544 MB
- SHA256:
- 97bc423b82ee2f23e4b03042e3af30e7fa1fdfd90c6a815f874779cd6f69bb61
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