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- 7. 사전 학습 모델 | |
- 7.1 버트 | |
- 버트의 모델 | |
- 버트의 미세 조정 | |
- 7.2 버트를 활용한 미세 조정 | |
- 버트 파일 불러오기 | |
- 버트 문장 전처리 진행하기 | |
- 7.2.1. 버트를 활용한 텍스트 분류 미세 조정 | |
- 네이버 영화 리뷰 데이터 전처리 | |
- 네이버 영화 리뷰 모델 학습 |
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- 7. 사전 학습 모델 | |
- 7.1 버트 | |
- 버트의 모델 | |
- 버트의 미세 조정 | |
- 7.2 버트를 활용한 텍스트 분석 | |
- 버트 파일 불러오기 | |
- 버트 문장 전처리 진행하기 | |
- 버트를 활용한 텍스트 분류 미세 조정 | |
- 네이버 영화 리뷰 데이터 전처리하기 | |
- 네이버 영화 리뷰 학습 준비하기 |
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{"embeddings": [{"tensorName": "My tensor", "tensorShape": [148, 256], "tensorPath": "https://gist.githubusercontent.com/reniew/9f612cfa780c2d2392192b5b4ab9dcb5/raw/vectors.tsv", "metadataPath": "https://gist.githubusercontent.com/reniew/e29d8cc600c558ef179d2b32c85c5de4/raw/metadata.tsv"}]} |
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0.34517091512680054 0.7903217077255249 0.7976328730583191 0.3484092354774475 0.0830000638961792 0.13404780626296997 0.789239227771759 0.9100863337516785 0.23707062005996704 0.07209652662277222 0.5116114020347595 0.24239784479141235 0.48608869314193726 0.1584174633026123 0.9198431968688965 0.4863564372062683 0.7646662592887878 0.7427437901496887 0.34776490926742554 0.2408071756362915 0.3038824200630188 0.37761253118515015 0.9207568764686584 0.9959769248962402 0.31437963247299194 0.9866722226142883 0.5108215808868408 0.4511790871620178 0.5877352952957153 0.24891763925552368 0.33775508403778076 0.837859570980072 0.5317909121513367 0.29064643383026123 0.5980965495109558 0.344046950340271 0.9990063309669495 0.43004441261291504 0.07692110538482666 0.2412676215171814 0.6202841401100159 0.5728368759155273 0.4520995616912842 0.660351037979126 0.046064019203186035 0.22349518537521362 0.015321135520935059 0.5818846225738525 0.7896268367767334 0.8344584107398987 0.04705023765563965 0.07487249374389648 0.8491657376289368 |
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Nocturne | |
Renekton | |
Graves | |
Ezreal | |
Lulu | |
Aphelios | |
Bard | |
Qiyana | |
Elise | |
Aatrox |
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{"embeddings": [{"tensorName": "My tensor", "tensorShape": [148, 256], "tensorPath": "https://gist.githubusercontent.com/reniew/098cd505b571960164f3fa82ae427d9a/raw/vectors.tsv", "metadataPath": "https://gist.githubusercontent.com/reniew/14dabca86bff2b2150bba8a95e627bf1/raw/metadata.tsv"}]} |
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0.34517091512680054 0.7903217077255249 0.7976328730583191 0.3484092354774475 0.0830000638961792 0.13404780626296997 0.789239227771759 0.9100863337516785 0.23707062005996704 0.07209652662277222 0.5116114020347595 0.24239784479141235 0.48608869314193726 0.1584174633026123 0.9198431968688965 0.4863564372062683 0.7646662592887878 0.7427437901496887 0.34776490926742554 0.2408071756362915 0.3038824200630188 0.37761253118515015 0.9207568764686584 0.9959769248962402 0.31437963247299194 0.9866722226142883 0.5108215808868408 0.4511790871620178 0.5877352952957153 0.24891763925552368 0.33775508403778076 0.837859570980072 0.5317909121513367 0.29064643383026123 0.5980965495109558 0.344046950340271 0.9990063309669495 0.43004441261291504 0.07692110538482666 0.2412676215171814 0.6202841401100159 0.5728368759155273 0.4520995616912842 0.660351037979126 0.046064019203186035 0.22349518537521362 0.015321135520935059 0.5818846225738525 0.7896268367767334 0.8344584107398987 0.04705023765563965 0.07487249374389648 0.8491657376289368 |
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Nocturne | |
Renekton | |
Graves | |
Ezreal | |
Lulu | |
Aphelios | |
Bard | |
Qiyana | |
Elise | |
Aatrox |
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{"embeddings": [{"tensorName": "My tensor", "tensorShape": [148, 256], "tensorPath": "https://gist.github.com/reniew/4b985328e03c4b5b71d89b99848bc2f5/raw/vectors.tsv", "metadataPath": "https://gist.github.com/reniew/b52340993c5c8613a6a061ba07a473f0/raw/metadata.tsv"}]} |
We can't make this file beautiful and searchable because it's too large.
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0.34517091512680054 0.7903217077255249 0.7976328730583191 0.3484092354774475 0.0830000638961792 0.13404780626296997 0.789239227771759 0.9100863337516785 0.23707062005996704 0.07209652662277222 0.5116114020347595 0.24239784479141235 0.48608869314193726 0.1584174633026123 0.9198431968688965 0.4863564372062683 0.7646662592887878 0.7427437901496887 0.34776490926742554 0.2408071756362915 0.3038824200630188 0.37761253118515015 0.9207568764686584 0.9959769248962402 0.31437963247299194 0.9866722226142883 0.5108215808868408 0.4511790871620178 0.5877352952957153 0.24891763925552368 0.33775508403778076 0.837859570980072 0.5317909121513367 0.29064643383026123 0.5980965495109558 0.344046950340271 0.9990063309669495 0.43004441261291504 0.07692110538482666 0.2412676215171814 0.6202841401100159 0.5728368759155273 0.4520995616912842 0.660351037979126 0.046064019203186035 0.22349518537521362 0.015321135520935059 0.5818846225738525 0.7896268367767334 0.8344584107398987 0.04705023765563965 0.07487249374389648 0.8491657376289368 |
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