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README.md
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This is a text-classification model to classify text on Bloom's Taxonomy Levels.
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The Blooms Taxonomy Dataset is a structured collection of educational materials categorized according to Bloom's Taxonomy, a hierarchical model that classifies cognitive skills into six levels: Remembering, Understanding, Applying, Analyzing, Evaluating, and Creating.
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Key Levels:
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Fine tuned on Bloom's Taxonomy [Dataset from Kaggle](https://www.kaggle.com/datasets/vijaydevane/blooms-taxonomy-dataset)
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# Uploaded model
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- **Developed by:** manzarimalik
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This is a text-classification model to classify text on Bloom's Taxonomy Levels.
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The Blooms Taxonomy Dataset is a structured collection of educational materials categorized according to Bloom's Taxonomy, a hierarchical model that classifies cognitive skills into six levels: Remembering, Understanding, Applying, Analyzing, Evaluating, and Creating.
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Key Levels:
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Fine tuned on Bloom's Taxonomy [Dataset from Kaggle](https://www.kaggle.com/datasets/vijaydevane/blooms-taxonomy-dataset)
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# Usage
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```
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from transformers import pipeline
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sentence1 = "List three predominant economic systems that exist!"
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classifier = pipeline("sentiment-analysis", model=model,tokenizer=tokenizer)
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classifier(sentence1)
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```
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# Uploaded model
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- **Developed by:** manzarimalik
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