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Update Readme.md

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  This model extracts **skills** and **location** from job descriptions using T5.
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  ## 🧠 Model Details
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- - Base model: `t5-small`
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  - Task: Sequence-to-sequence (text-to-text)
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  - Training data: Custom dataset of job descriptions
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  - Trained to output:
@@ -33,5 +33,5 @@ def extract_skills_and_location(job_description):
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  return tokenizer.decode(outputs[0], skip_special_tokens=True)
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  # 🔍 Example
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- sample = "Hiring a Data Scientist in New York. Required: Python, SQL, ML."
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  print(extract_skills_and_location(sample))
 
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  This model extracts **skills** and **location** from job descriptions using T5.
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  ## 🧠 Model Details
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+ - Base model: `t5-base`
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  - Task: Sequence-to-sequence (text-to-text)
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  - Training data: Custom dataset of job descriptions
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  - Trained to output:
 
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  return tokenizer.decode(outputs[0], skip_special_tokens=True)
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  # 🔍 Example
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+ sample = "Provide description"
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  print(extract_skills_and_location(sample))