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Helsinki-NLP/opus-mt-inc-inc Helsinki-NLP/opus-mt-inc-inc
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pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1325 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-inc-inc") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-inc-inc")
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inc-inc

  • source group: Indic languages

  • target group: Indic languages

  • OPUS readme: inc-inc

  • model: transformer

  • source language(s): asm hin mar urd

  • target language(s): asm hin mar urd

  • model: transformer

  • pre-processing: normalization + SentencePiece (spm32k,spm32k)

  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)

  • download original weights: opus-2020-07-27.zip

  • test set translations: opus-2020-07-27.test.txt

  • test set scores: opus-2020-07-27.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.asm-hin.asm.hin 2.6 0.231
Tatoeba-test.hin-asm.hin.asm 9.1 0.262
Tatoeba-test.hin-mar.hin.mar 28.1 0.548
Tatoeba-test.hin-urd.hin.urd 19.9 0.508
Tatoeba-test.mar-hin.mar.hin 11.6 0.466
Tatoeba-test.multi.multi 17.1 0.464
Tatoeba-test.urd-hin.urd.hin 13.5 0.377

System Info:

  • hf_name: inc-inc

  • source_languages: inc

  • target_languages: inc

  • opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-inc/README.md

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']

  • src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}

  • tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}

  • src_multilingual: True

  • tgt_multilingual: True

  • prepro: normalization + SentencePiece (spm32k,spm32k)

  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.zip

  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.test.txt

  • src_alpha3: inc

  • tgt_alpha3: inc

  • short_pair: inc-inc

  • chrF2_score: 0.46399999999999997

  • bleu: 17.1

  • brevity_penalty: 1.0

  • ref_len: 4985.0

  • src_name: Indic languages

  • tgt_name: Indic languages

  • train_date: 2020-07-27

  • src_alpha2: inc

  • tgt_alpha2: inc

  • prefer_old: False

  • long_pair: inc-inc

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41