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michaelfeil/
ct2fast-opus-mt-en-es

Name: ct2fast-opus-mt-en-es
Availability: InStock

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# Fast-Inference with Ctranslate2

Speedup inference by 2x-8x using int8 inference in C++

quantized version of Helsinki-NLP/opus-mt-en-es

pip install hf-hub-ctranslate2>=1.0.0 ctranslate2>=3.13.0

Converted using

ct2-transformers-converter --model Helsinki-NLP/opus-mt-en-es --output_dir /home/michael/tmp-ct2fast-opus-mt-en-es --force --copy_files README.md generation_config.json tokenizer_config.json vocab.json source.spm .gitattributes target.spm --quantization float16

Checkpoint compatible to ctranslate2 and hf-hub-ctranslate2

compute_type=int8_float16 for device="cuda"
compute_type=int8 for device="cpu"

python

from hf_hub_ctranslate2 import TranslatorCT2fromHfHub, GeneratorCT2fromHfHub
from transformers import AutoTokenizer

model_name = "michaelfeil/ct2fast-opus-mt-en-es"
# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model.
model = TranslatorCT2fromHfHub(
        # load in int8 on CUDA
        model_name_or_path=model_name, 
        device="cuda",
        compute_type="int8_float16",
        tokenizer=AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-es")
)
outputs = model.generate(
    text=["How do you call a fast Flan-ingo?", "User: How are you doing?"],
)
print(outputs)

Licence and other remarks:

This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo.

Original description

eng-spa

source group: English
target group: Spanish
OPUS readme: eng-spa
model: transformer
source language(s): eng
target language(s): spa
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus-2020-08-18.zip
test set translations: opus-2020-08-18.test.txt
test set scores: opus-2020-08-18.eval.txt

Benchmarks

testset	BLEU	chr-F
newssyscomb2009-engspa.eng.spa	31.0	0.583
news-test2008-engspa.eng.spa	29.7	0.564
newstest2009-engspa.eng.spa	30.2	0.578
newstest2010-engspa.eng.spa	36.9	0.620
newstest2011-engspa.eng.spa	38.2	0.619
newstest2012-engspa.eng.spa	39.0	0.625
newstest2013-engspa.eng.spa	35.0	0.598
Tatoeba-test.eng.spa	54.9	0.721

System Info:

hf_name: eng-spa
source_languages: eng
target_languages: spa
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md
original_repo: Tatoeba-Challenge
tags:
ctranslate2 ['translation']
languages: ['en', 'es']
src_constituents: {'eng'}
tgt_constituents: {'spa'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt
src_alpha3: eng
tgt_alpha3: spa
short_pair: en-es
chrF2_score: 0.721
bleu: 54.9
brevity_penalty: 0.978
ref_len: 77311.0
src_name: English
tgt_name: Spanish
train_date: 2020-08-18 00:00:00
src_alpha2: en
tgt_alpha2: es
prefer_old: False
long_pair: eng-spa
helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
port_machine: brutasse
port_time: 2020-08-24-18:20