content.raw: 📢 For those who interested in quick extraction of emotion causes in dialogues, below is a notebook that adopts the pre-trained Flan-T5 model on FRIENDS dataset powered by bulk-chain framework:
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content.value: 📢 For those who interested in quick extraction of emotion causes in dialogues, below is a notebook that adopts the pre-trained Flan-T5 model on FRIENDS dataset powered by bulk-chain framework:
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content.href: https://gist.github.com/nicolay-r/c8cfe7df1bef0c14f77760fa78ae5b5c
content.raw: https://gist.github.com/nicolay-r/c8cfe7df1bef0c14f77760fa78ae5b5c
content.type: link
content.type: new_line
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content.raw: Why it might be intersted to check? The provided supports batching mode for a quck inference. In the case of Flan-T5-base that would be the quickest option via LLM.
content.type: text
content.value: Why it might be intersted to check? The provided supports batching mode for a quck inference. In the case of Flan-T5-base that would be the quickest option via LLM.
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content.raw: 📊 Evaluation results are available in model card:
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content.value: 📊 Evaluation results are available in model card:
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content.raw: https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base
content.id: nicolay-r/flan-t5-emotion-cause-thor-base
content.type: model
content.type: resource
content.url: https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base
content.type: new_line
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rawContent: 📢 For those who interested in quick extraction of emotion causes in dialogues, below is a notebook that adopts the pre-trained Flan-T5 model on FRIENDS dataset powered by bulk-chain framework:
  
  https://gist.github.com/nicolay-r/c8cfe7df1bef0c14f77760fa78ae5b5c
  
  Why it might be intersted to check? The provided supports batching mode for a quck inference. In the case of Flan-T5-base that would be the quickest option via LLM.
  
  📊 Evaluation results are available in model card:
  https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base
  
  
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