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@@ -8,4 +8,34 @@ This model was fine-tuned on a parsed version of The Wizard of Wikipedia dataset
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  `script_speaker_name` = `person alpha`
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- `script_responder_name` = `person beta`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  `script_speaker_name` = `person alpha`
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+ `script_responder_name` = `person beta`
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+
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+ ## usage
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+ ### in ai-msgbot
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+ ```
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+ python ai_single_response.py --model GPT2_conversational_355M_WoW10k --prompt "hi! what are your hobbies?"
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+ ... generating...
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+ finished!
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+ 'i like to read.'
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+ ```
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+ ### in huggingface inference API
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+ The model training (and the ai-msgbot scripts) "force" GPT-2 to generate text in a chat-like structure. If you want non-garbage outputs, these need to be specified manually:
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+ ```
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+ person alpha:
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+ hi! what are your hobbies?
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+ ```
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+ then model will respond, ideally with person beta: "response text"
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+ ---
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+