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-zls-en Helsinki-NLP/opus-mt-zls-en
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-zls-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zls-en")
Uploaded in S3

zls-eng

  • source group: South Slavic languages

  • target group: English

  • OPUS readme: zls-eng

  • model: transformer

  • source language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn

  • target language(s): eng

  • model: transformer

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

  • download original weights: opus2m-2020-08-01.zip

  • test set translations: opus2m-2020-08-01.test.txt

  • test set scores: opus2m-2020-08-01.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.bul-eng.bul.eng 54.9 0.693
Tatoeba-test.hbs-eng.hbs.eng 55.7 0.700
Tatoeba-test.mkd-eng.mkd.eng 54.6 0.681
Tatoeba-test.multi.eng 53.6 0.676
Tatoeba-test.slv-eng.slv.eng 25.6 0.407

System Info: