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@@ -3,23 +3,30 @@ language: en
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  license: apache-2.0
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  tags:
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  - text-classification
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- - subcategory
 
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  datasets:
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- - your-dataset-name
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  model-index:
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- - name: SubCategory Classifier
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  results: []
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  ---
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- # SubCategory Classifier
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- This model classifies blog post titles and content into subcategories.
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- ## How to use
 
 
 
 
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  ```python
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  from transformers import pipeline
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- classifier = pipeline("text-classification", model="username/model-name")
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- result = classifier("How to start a React project?")
 
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  print(result)
 
 
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  license: apache-2.0
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  tags:
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  - text-classification
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+ - subcategory-classifier
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+ - disabilities
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  datasets:
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+ - custom
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  model-index:
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+ - name: SubCategory Classifier for Disabilities
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  results: []
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  ---
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+ # 🧠 SubCategory Classifier for Disabilities
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+ This model classifies text inputs such as blog post titles or content into specific **disability-related subcategories** like `ADHD`, `Depression`, `Autism Spectrum Disorder`, etc. It's designed to help platforms categorize user-generated content automatically.
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+ ---
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+
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+ ## 🛠️ How to Use
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+
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+ You can use this model directly with Hugging Face's `pipeline`:
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  ```python
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  from transformers import pipeline
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+ classifier = pipeline("text-classification", model="karimmohamed19/knowledge_sharing")
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+ text = "I struggle with anxiety in school."
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+ result = classifier(text)
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  print(result)
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+