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Download README.md from Emirinth/ReviewGuard-models: direct link, hf CLI and curl.
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https://huggingface.co/Emirinth/ReviewGuard-models/resolve/main/README.md
- Command line
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hf download hf://Emirinth/ReviewGuard-models/README.md
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curl -L -o README.md https://huggingface.co/Emirinth/ReviewGuard-models/resolve/main/README.md
682 Bytes
metadata
license: mit
tags:
- sentiment-analysis
- retail
- reviews
- text-classification
ReviewGuard trained models
Models behind the ReviewGuard review-triage app.
roberta_sentiment/: RoBERTa fine-tuned on 72,000 Amazon Reviews 2023 reviews. It predicts negative, neutral or positive.distilroberta_sentiment/: a smaller, faster version trained the same way.classical/: TF-IDF with Naive Bayes and Logistic Regression baselines.issue_student.joblib: issue classifier distilled from a zero-shot teacher.photo_calibration.jsonandlexicon_bands.json: calibration and tuning settings.
Download them into the project with python pipeline.py fetch-models.