DeathReaper0965
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Update README.md
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README.md
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@@ -11,7 +11,8 @@ tags:
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- reinforcement-learning
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widget:
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- text: >-
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Summarize the following Conversation:
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official! Kate: I wrote it at 4am Kai: I've noticed. Why? Kate: I had to get
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up early to catch the bus to the airport Kai: Where are you flying? Kate: To
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Antwerp! I'm fed up with Cambridge Kai: poor thing. Why? Kate: Just a
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to rest a bit in Belgium, do not work too much. Kate: I have to work, but at
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least not in this soulless place. Kai: When are you coming back? Kate: I
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have to see my supervisor on Monday <unk> Kai: not too long a break Kate:
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Still better than nothing.
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example_title: Summarization Example 1
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- text: >-
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Summarize the following Conversation:
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Dean: no, like I ate something bad Scott: what did you eat yesterday? Dean:
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breakfast at Coffee Lovers' Scott: this is a rather safe place Dean: and
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Chinese from TaoTao for dinner Scott: now we have a suspect
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example_title: Summarization Example 2
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pipeline_tag: text2text-generation
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inference:
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parameters:
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max_new_tokens:
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repetition_penalty: 2.5
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top_p: 0.95
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top_k: 50
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- reinforcement-learning
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widget:
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- text: >-
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Summarize the following Conversation: |
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Kate: Good morning. Kai: Hi! How
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official! Kate: I wrote it at 4am Kai: I've noticed. Why? Kate: I had to get
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up early to catch the bus to the airport Kai: Where are you flying? Kate: To
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Antwerp! I'm fed up with Cambridge Kai: poor thing. Why? Kate: Just a
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to rest a bit in Belgium, do not work too much. Kate: I have to work, but at
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least not in this soulless place. Kai: When are you coming back? Kate: I
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have to see my supervisor on Monday <unk> Kai: not too long a break Kate:
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Still better than nothing. |
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Summary:
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example_title: Summarization Example 1
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- text: >-
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Summarize the following Conversation: |
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Dean: I feel sick Scott: hungover?
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Dean: no, like I ate something bad Scott: what did you eat yesterday? Dean:
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breakfast at Coffee Lovers' Scott: this is a rather safe place Dean: and
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Chinese from TaoTao for dinner Scott: now we have a suspect |
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Summary:
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example_title: Summarization Example 2
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pipeline_tag: text2text-generation
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inference:
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parameters:
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max_new_tokens: 20
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repetition_penalty: 2.5
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top_p: 0.95
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top_k: 50
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