📢 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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📢 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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https://gist.github.com/nicolay-r/c8cfe7df1bef0c14f77760fa78ae5b5c
https://gist.github.com/nicolay-r/c8cfe7df1bef0c14f77760fa78ae5b5c
link
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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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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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📊 Evaluation results are available in model card:
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📊 Evaluation results are available in model card:
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https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base
nicolay-r/flan-t5-emotion-cause-thor-base
model
resource
https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base
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📢 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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