Instructions to use CLMBR/superlative-quantifier-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/superlative-quantifier-lstm-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/superlative-quantifier-lstm-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-76320/optimizer.pt from CLMBR/superlative-quantifier-lstm-2: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/CLMBR/superlative-quantifier-lstm-2/resolve/main/checkpoint-76320/optimizer.pt
- Command line
-
hf download hf://CLMBR/superlative-quantifier-lstm-2/checkpoint-76320/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CLMBR/superlative-quantifier-lstm-2/resolve/main/checkpoint-76320/optimizer.pt
544 MB
- Xet hash:
- 8094b7511709c3e59062124ad71b0f0bd5cbae9dec16d4fdf48671ca1960e649
- Size of remote file:
- 544 MB
- SHA256:
- 75d65543bb7f91d3d7692dcb5ff0b1e77aed6b365c11d902c75561ab07403af1
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