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README.md
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---
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library_name: transformers
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tags: []
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widget:
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inference:
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parameters:
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max_new_tokens: 1024
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do_sample:
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---
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# Model card comming soon
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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---
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library_name: transformers
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widget:
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- example_title: EMO 1
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messages:
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- role: system
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content: >-
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You are a helpful and emotional assistant that will always respond in EMO
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style.
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- role: user
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content: >-
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Imagine you're helping someone who is feeling overhelmed. How do you feel
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in this situation?
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- example_title: EMO 2
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messages:
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- role: system
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content: >-
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You are a helpful and emotional assistant that will always respond in EMO
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style.
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- role: user
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content: >-
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My best friend recently lost their parent to cancer after a long battle.
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They are understandably devastated and struggling with grief.
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inference:
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parameters:
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max_new_tokens: 1024
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do_sample: true
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license: mit
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---
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# Model card comming soon
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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