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Phichayut 'Florentin' Sakwiset

heyFlorentin

https://wemake.cx

AI & ML interests

WeMake OpenSource 💙

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reacted to nicolay-r's post with 🚀 about 1 month ago

📢 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

published a model about 1 month ago

WeMake/V41

liked a Space about 1 month ago

PeiqingYang/MatAnyone

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heyFlorentin's activity

reacted to nicolay-r's post with 🚀 about 1 month ago

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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:
nicolay-r/flan-t5-emotion-cause-thor-base