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Commits on Dec 11, 2023

• Add NLLB models (#9)

  jvamvas

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• Bump version to 0.3.3

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  212d526

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• Compatibility updates

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• Update example values in Readme

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  a455176

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• Fix EOS tokens with m2m100/small100 for newer versions of transformers

  jvamvas

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• Pin transformers version to mitigate #7

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• Update minimum python version to 3.8

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Commits on May 30, 2023

• Bump version to 0.3.2

  jvamvas

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  ee2e8ad

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• Update paraphrase identification results for small100

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Commits on May 26, 2023

• Fix score calculation for small100 (no language token in tgt)

  jvamvas

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• Add missing src_lang warning to score function

  jvamvas

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• Improve caching efficiency

  jvamvas

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Commits on Feb 13, 2023

• Update m2m100 paper link

  jvamvas

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Commits on Feb 10, 2023

• Bump version to 0.3.1

  jvamvas

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• Pin numpy dependency for fairseq extra

  jvamvas

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  e84d869

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• Set small100 as default model when instantiating NMTScorer

  jvamvas

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Commits on Feb 2, 2023

• Update citation

  jvamvas

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Commits on Jan 9, 2023

• Bump version to 0.3.0

  jvamvas

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Commits on Jan 8, 2023

• Implement SMaLL100 model

  jvamvas

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Commits on Jan 7, 2023

• Refactor M2M100 implementation and use half precision by default

  jvamvas

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Commits on Jan 6, 2023

• Fix compatibility to newer transformers versions

  jvamvas

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Commits on Jan 5, 2023

• Fix compatibility to newer transformers versions

  jvamvas

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• Fix compatibility to newer transformers versions

  jvamvas

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Commits on Oct 19, 2022

• Update figure numbers

  jvamvas

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Commits on Oct 18, 2022

• Merge remote-tracking branch 'origin_public/master'

  jvamvas

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• Bump version to 0.2.0

  jvamvas

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  0d5ee9a

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• Update Readme

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  fbbb36b

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• Update Python version in setup.cfg

  jvamvas

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  a929fe8

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• Merge pull request #2 from ZurichNLP/bugfix-m2m100-src

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  jvamvas

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  bc9da1e

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• Fix argument order

  jvamvas

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  3df06b8

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• Merge branch 'master' into bugfix-m2m100-src

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• Merge remote-tracking branch 'origin_public/master'

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• Pin fairseq version

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• Pin fairseq version

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• Bugfix: Provide source language to m2m100 models (#1)

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