Instructions to use Helsinki-NLP/opus-mt-eo-af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-af 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-eo-af")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-af") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-af") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-af")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-af")epo-afr
source group: Esperanto
target group: Afrikaans
OPUS readme: epo-afr
model: transformer-align
source language(s): epo
target language(s): afr
model: transformer-align
pre-processing: normalization + SentencePiece (spm4k,spm4k)
download original weights: opus-2020-06-16.zip
test set translations: opus-2020-06-16.test.txt
test set scores: opus-2020-06-16.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.epo.afr | 19.5 | 0.369 |
System Info:
hf_name: epo-afr
source_languages: epo
target_languages: afr
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['eo', 'af']
src_constituents: {'epo'}
tgt_constituents: {'afr'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k,spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt
src_alpha3: epo
tgt_alpha3: afr
short_pair: eo-af
chrF2_score: 0.369
bleu: 19.5
brevity_penalty: 0.9570000000000001
ref_len: 8432.0
src_name: Esperanto
tgt_name: Afrikaans
train_date: 2020-06-16
src_alpha2: eo
tgt_alpha2: af
prefer_old: False
long_pair: epo-afr
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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# 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-eo-af")