Instructions to use shawon95/BengaliFakeReviewDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawon95/BengaliFakeReviewDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shawon95/BengaliFakeReviewDetection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shawon95/BengaliFakeReviewDetection") model = AutoModelForSequenceClassification.from_pretrained("shawon95/BengaliFakeReviewDetection") - Notebooks
- Google Colab
- Kaggle
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# Bengali Fake Review Detection
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This model is taken from the paper 'Bengali Fake Reviews: A Benchmark Dataset and Detection System' which introduces
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the Bengali Fake Review Detection (BFRD) dataset, the first publicly
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# Bengali Fake Review Detection Model:
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This model is taken from the paper 'Bengali Fake Reviews: A Benchmark Dataset and Detection System' which introduces
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the Bengali Fake Review Detection (BFRD) dataset, the first publicly
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