Instructions to use CLMBR/superlative-quantifier-lstm-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1908000/optimizer.pt from CLMBR/superlative-quantifier-lstm-4: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/superlative-quantifier-lstm-4/resolve/main/checkpoint-1908000/optimizer.pt
- Command line
-
hf download hf://CLMBR/superlative-quantifier-lstm-4/checkpoint-1908000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/superlative-quantifier-lstm-4/resolve/main/checkpoint-1908000/optimizer.pt
544 MB
- Xet hash:
- 034c23660afd38ba2698d8a1a10e0aa2b8aa08b7eb5655c0d782acc49ef2bdf2
- Size of remote file:
- 544 MB
- SHA256:
- 62d99c85ae4dae142204c66859ee85364027c230d4c92bd726af452443da4589
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