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--- |
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tags: |
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- ctranslate2 |
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- translation |
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license: apache-2.0 |
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--- |
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# # Fast-Inference with Ctranslate2 |
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Speedup inference by 2x-8x using int8 inference in C++ |
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quantized version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) |
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```bash |
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pip install hf-hub-ctranslate2>=1.0.0 ctranslate2>=3.13.0 |
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``` |
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Converted using |
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``` |
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ct2-transformers-converter --model Helsinki-NLP/opus-mt-fr-en --output_dir /home/michael/tmp-ct2fast-opus-mt-fr-en --force --copy_files README.md generation_config.json tokenizer_config.json vocab.json source.spm .gitattributes target.spm --quantization float16 |
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``` |
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Checkpoint compatible to [ctranslate2](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2](https://github.com/michaelfeil/hf-hub-ctranslate2) |
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- `compute_type=int8_float16` for `device="cuda"` |
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- `compute_type=int8` for `device="cpu"` |
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```python |
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from hf_hub_ctranslate2 import TranslatorCT2fromHfHub, GeneratorCT2fromHfHub |
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from transformers import AutoTokenizer |
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model_name = "michaelfeil/ct2fast-opus-mt-fr-en" |
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# use either TranslatorCT2fromHfHub or GeneratorCT2fromHfHub here, depending on model. |
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model = TranslatorCT2fromHfHub( |
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# load in int8 on CUDA |
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model_name_or_path=model_name, |
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device="cuda", |
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compute_type="int8_float16", |
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tokenizer=AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-en") |
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) |
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outputs = model.generate( |
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text=["How do you call a fast Flan-ingo?", "User: How are you doing?"], |
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) |
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print(outputs) |
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``` |
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# Licence and other remarks: |
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This is just a quantized version. Licence conditions are intended to be idential to original huggingface repo. |
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# Original description |
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### opus-mt-fr-en |
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* source languages: fr |
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* target languages: en |
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* OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-en/README.md) |
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* dataset: opus |
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* model: transformer-align |
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* pre-processing: normalization + SentencePiece |
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* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.zip) |
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* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt) |
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* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt) |
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## Benchmarks |
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| testset | BLEU | chr-F | |
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|-----------------------|-------|-------| |
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| newsdiscussdev2015-enfr.fr.en | 33.1 | 0.580 | |
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| newsdiscusstest2015-enfr.fr.en | 38.7 | 0.614 | |
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| newssyscomb2009.fr.en | 30.3 | 0.569 | |
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| news-test2008.fr.en | 26.2 | 0.542 | |
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| newstest2009.fr.en | 30.2 | 0.570 | |
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| newstest2010.fr.en | 32.2 | 0.590 | |
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| newstest2011.fr.en | 33.0 | 0.597 | |
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| newstest2012.fr.en | 32.8 | 0.591 | |
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| newstest2013.fr.en | 33.9 | 0.591 | |
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| newstest2014-fren.fr.en | 37.8 | 0.633 | |
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| Tatoeba.fr.en | 57.5 | 0.720 | |
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