Instructions to use Helsinki-NLP/opus-tatoeba-af-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-tatoeba-af-ru 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-tatoeba-af-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-tatoeba-af-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-tatoeba-af-ru") - Notebooks
- Google Colab
- Kaggle
af-ru
source group: Afrikaans
target group: Russian
OPUS readme: afr-rus
model: transformer-align
source language(s): afr
target language(s): rus
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus-2020-09-10.zip
test set translations: opus-2020-09-10.test.txt
test set scores: opus-2020-09-10.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.afr.rus | 38.2 | 0.580 |
System Info:
hf_name: af-ru
source_languages: afr
target_languages: rus
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['af', 'ru']
src_constituents: ('Afrikaans', {'afr'})
tgt_constituents: ('Russian', {'rus'})
src_multilingual: False
tgt_multilingual: False
long_pair: afr-rus
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.test.txt
src_alpha3: afr
tgt_alpha3: rus
chrF2_score: 0.58
bleu: 38.2
brevity_penalty: 0.992
ref_len: 1213
src_name: Afrikaans
tgt_name: Russian
train_date: 2020-01-01 00:00:00
src_alpha2: af
tgt_alpha2: ru
prefer_old: False
short_pair: af-ru
helsinki_git_sha: e8c308a96c1bd0b4ca6a8ce174783f93c3e30f25
transformers_git_sha: 31245775e5772fbded1ac07ed89fbba3b5af0cb9
port_machine: LM0-400-22516.local
port_time: 2021-02-12-14:52
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