grigio@alien.topB to LocalLLaMAEnglish · 1 year agoIs there a 7B model capable to extract keywords from a text and return them as an array?message-squaremessage-square16fedilinkarrow-up11arrow-down10file-text
arrow-up11arrow-down1message-squareIs there a 7B model capable to extract keywords from a text and return them as an array?grigio@alien.topB to LocalLLaMAEnglish · 1 year agomessage-square16fedilinkfile-text
Prompt like: Extract the company names from the texts below and return as an array – [“Google”, “Meta”, “Microsoft”]
minus-squarexelldev13@alien.topBlinkfedilinkEnglisharrow-up1·1 year agoYou can do this with NER model like bert, is more fast, but is only for entitie recognition
minus-squarename_is_unimportant@alien.topBlinkfedilinkEnglisharrow-up1·1 year agoYeah Named Entity Recognition with BERT works very well, provided that you have a good dataset. Another limitation is that it can only handle 512 tokens
You can do this with NER model like bert, is more fast, but is only for entitie recognition
Yeah Named Entity Recognition with BERT works very well, provided that you have a good dataset. Another limitation is that it can only handle 512 tokens