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  # CareCounselor-LLaMA-3.1-8B-Instruct
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  ## 🧠 Model Overview
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  inputs = tokenizer(input_text, return_tensors="pt")
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  outputs = model.generate(**inputs, max_new_tokens=150)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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- ```
 
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - arafatanam/Student-Mental-Health-Counseling-50K
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+ language:
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+ - en
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+ base_model:
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+ - meta-llama/Llama-3.1-8B-Instruct
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+ tags:
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+ - mental-health
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+ - student-support
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+ - counseling
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+ - chatbot
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+ - LLaMA3.1
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+ - finetuned
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+ ---
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  # CareCounselor-LLaMA-3.1-8B-Instruct
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  ## 🧠 Model Overview
 
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  inputs = tokenizer(input_text, return_tensors="pt")
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  outputs = model.generate(**inputs, max_new_tokens=150)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```