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

eng-grk

  • source group: English

  • target group: Greek languages

  • OPUS readme: eng-grk

  • model: transformer

  • source language(s): eng

  • target language(s): ell grc_Grek

  • model: transformer

  • pre-processing: normalization + SentencePiece (spm12k,spm12k)

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

  • 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.eng-ell.eng.ell 53.8 0.723
Tatoeba-test.eng-grc.eng.grc 0.1 0.102
Tatoeba-test.eng.multi 45.6 0.677

System Info: