Instructions to use Helsinki-NLP/opus-mt-bg-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bg-uk with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-bg-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bg-uk") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bg-uk") - Notebooks
- Google Colab
- Kaggle
bul-ukr
source group: Bulgarian
target group: Ukrainian
OPUS readme: bul-ukr
model: transformer-align
source language(s): bul
target language(s): ukr
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus-2020-06-17.zip
test set translations: opus-2020-06-17.test.txt
test set scores: opus-2020-06-17.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bul.ukr | 49.2 | 0.683 |
System Info:
hf_name: bul-ukr
source_languages: bul
target_languages: ukr
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ukr/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['bg', 'uk']
src_constituents: {'bul', 'bul_Latn'}
tgt_constituents: {'ukr'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.test.txt
src_alpha3: bul
tgt_alpha3: ukr
short_pair: bg-uk
chrF2_score: 0.6829999999999999
bleu: 49.2
brevity_penalty: 0.983
ref_len: 4932.0
src_name: Bulgarian
tgt_name: Ukrainian
train_date: 2020-06-17
src_alpha2: bg
tgt_alpha2: uk
prefer_old: False
long_pair: bul-ukr
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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