IL-TUR-Leaderboard / requirements.txt
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seaborn
scipy
pytorch==2.3
pytorch-cuda==12.1
datasets==2.14.5
gradio
huggingface-hub==0.18.0
numpy==1.24.2
APScheduler==3.10.1
pandas==1.3.4
nervaluate==0.2.0
evaluate==0.4.0
rouge_score
sacrebleu==2.4.2
transformers==4.17.0
scikit-learn==1.0.2
py-rouge==1.1
bert-score==0.3.13
sentencepiece==0.1.99
tokenizers