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transformers's Introduction

Hi there ๐Ÿ‘‹ |

  • ๐ŸŽ“ Iโ€™m currently a PhD student in CS at EPFL Data Science Lab
  • ๐ŸŒฑ My research interest is reliable and controllable LLM generation via constrained decoding
  • ๐Ÿค— I contribute to the open-source community in my spare time.
  • ๐Ÿ”ฌ Iโ€™m always looking for motivated master's students interested in my research
  • ๐Ÿ“ซ How to reach me: if you want to work with me on a semester project or master thesis, have a look at openings and feel free to drop an email

My Open Source Projects on Github

transformers's People

Contributors

aaugustin avatar alaradirik avatar amyeroberts avatar arthurzucker avatar dependabot[bot] avatar gante avatar jplu avatar julien-c avatar lukovnikov avatar lysandrejik avatar mfuntowicz avatar mrm8488 avatar muellerzr avatar narsil avatar nielsrogge avatar pacman100 avatar patil-suraj avatar patrickvonplaten avatar rlouf avatar rocketknight1 avatar sanchit-gandhi avatar sgugger avatar sshleifer avatar stas00 avatar stefan-it avatar stevhliu avatar thomwolf avatar victorsanh avatar ydshieh avatar younesbelkada avatar

transformers's Issues

DocumentLookupCandidateGenerator

Feature request

Motivation

PromptLookupCandidateGenerator is awesome, but why do we limit the lookup to the prompt? in case of information or knowledge intensive tasks. We may use an external document, such as a wikipedia article or quote from Shakespeare to accelerate and adjust the output!

Your contribution

the implementation could just follow https://github.com/huggingface/transformers/blob/a7cb92aa030bc4dde3ea82aad849e783d15f470a/src/transformers/generation/utils.py#L656

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