Back to all models
translation mask_token:
Query this model
🔥 This model is currently loaded and running on the Inference API. ⚠️ This model could not be loaded by the inference API. ⚠️ This model can be loaded on the Inference API on-demand.
JSON Output
API endpoint  

⚡️ Upgrade your account to access the Inference API

Share Copied link to clipboard

Monthly model downloads

Helsinki-NLP/opus-mt-iir-iir Helsinki-NLP/opus-mt-iir-iir
N/a downloads
last 30 days

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:

			
Copy to clipboard
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-iir-iir") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-iir-iir")
Uploaded in S3

iir-iir

  • source group: Indo-Iranian languages

  • target group: Indo-Iranian languages

  • OPUS readme: iir-iir

  • model: transformer

  • source language(s): asm hin mar urd zza

  • target language(s): asm hin mar urd zza

  • 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 3.5 0.202
Tatoeba-test.asm-zza.asm.zza 12.4 0.014
Tatoeba-test.hin-asm.hin.asm 6.2 0.238
Tatoeba-test.hin-mar.hin.mar 27.0 0.560
Tatoeba-test.hin-urd.hin.urd 21.4 0.507
Tatoeba-test.mar-hin.mar.hin 13.4 0.463
Tatoeba-test.multi.multi 17.7 0.460
Tatoeba-test.urd-hin.urd.hin 13.4 0.363
Tatoeba-test.zza-asm.zza.asm 5.3 0.000

System Info:

  • hf_name: iir-iir

  • source_languages: iir

  • target_languages: iir

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

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']

  • src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}

  • tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}

  • src_multilingual: True

  • tgt_multilingual: True

  • prepro: normalization + SentencePiece (spm32k,spm32k)

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

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

  • src_alpha3: iir

  • tgt_alpha3: iir

  • short_pair: iir-iir

  • chrF2_score: 0.46

  • bleu: 17.7

  • brevity_penalty: 1.0

  • ref_len: 4992.0

  • src_name: Indo-Iranian languages

  • tgt_name: Indo-Iranian languages

  • train_date: 2020-07-27

  • src_alpha2: iir

  • tgt_alpha2: iir

  • prefer_old: False

  • long_pair: iir-iir

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41