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license: openrail |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- medical |
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widget: |
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- text: "Prompt: To start, could you tell me the things that you like about smoking?\nResponse: It helps me stay focused when I'm working\n" |
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example_title: "What do you like about smoking?" |
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- text: "Prompt: Now, what is one thing about your smoking habit that you would like to change?\nResponse: I would love to decrease the number of cigarettes per day.\n" |
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example_title: "What would you change about your about smoking?" |
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--- |
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# GPT2-MI-Reflector |
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### A gpt2 based motivational interviewing reflector |
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Given a prompt and a response, this GPT2 based transformer will generate a reflection. It was fine-tuned on prompt/response/reflection triplets so it should also be inferenced with the same input style. Examples are shown below. |
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The triplets this reflector was fine-tuned on focus on smoking-cessation. Given this, its best performance is when inferencing about smoking. |
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To properly inference model (as it was fine-tuned), use the following format: |
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Prompt: ...Question from bot... |
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Response: ...Response from user... |
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Example Prompt: paste two lines below and generate a reflection |
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Prompt: What do you want to change in your smoking? |
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Response: I want to smoke less often in my life, its become quite stressful for me. |
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Model should generate a motivational interviewing adherent statement |
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This is the first model (of many!) that I'll upload to huggingface! |
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