# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cel-en")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cel-en", device_map="auto")cel-eng
source group: Celtic languages
target group: English
OPUS readme: cel-eng
model: transformer
source language(s): bre cor cym gla gle glv
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus2m-2020-07-31.zip
test set translations: opus2m-2020-07-31.test.txt
test set scores: opus2m-2020-07-31.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bre-eng.bre.eng | 17.2 | 0.385 |
| Tatoeba-test.cor-eng.cor.eng | 3.0 | 0.172 |
| Tatoeba-test.cym-eng.cym.eng | 41.5 | 0.582 |
| Tatoeba-test.gla-eng.gla.eng | 15.4 | 0.330 |
| Tatoeba-test.gle-eng.gle.eng | 50.8 | 0.668 |
| Tatoeba-test.glv-eng.glv.eng | 11.0 | 0.297 |
| Tatoeba-test.multi.eng | 22.8 | 0.398 |
System Info:
hf_name: cel-eng
source_languages: cel
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en']
src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt
src_alpha3: cel
tgt_alpha3: eng
short_pair: cel-en
chrF2_score: 0.39799999999999996
bleu: 22.8
brevity_penalty: 1.0
ref_len: 42097.0
src_name: Celtic languages
tgt_name: English
train_date: 2020-07-31
src_alpha2: cel
tgt_alpha2: en
prefer_old: False
long_pair: cel-eng
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
- Downloads last month
- 96
# 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-cel-en")