transformers ctranslate2 translation license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
tags:
- ctranslate2
- translation
---
# # Fast-Inference with Ctranslate2
Speedup inference by 2x-8x using int8 inference in C++

quantized version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr)
```bash
pip install hf-hub-ctranslate2>=1.0.0 ctranslate2>=3.13.0
```
Converted using
```
ct2-transformers-converter --model Helsinki-NLP/opus-mt-en-fr --output_dir /home/michael/tmp-ct2fast-opus-mt-en-fr --force --copy_files README.md generation_config.json tokenizer_config.json vocab.json source.spm .gitattributes target.spm --quantization float16
```

Checkpoint compatible to [ctranslate2](https://github.com/OpenNMT/CTranslate2) and [hf-hub-ctranslate2](https://github.com/michaelfeil/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-fr"
# 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-fr")
)
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
    

### opus-mt-en-fr

* source languages: en
* target languages: fr
*  OPUS readme: [en-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.en.fr 	| 33.8 	| 0.602 |
| newsdiscusstest2015-enfr.en.fr 	| 40.0 	| 0.643 |
| newssyscomb2009.en.fr 	| 29.8 	| 0.584 |
| news-test2008.en.fr 	| 27.5 	| 0.554 |
| newstest2009.en.fr 	| 29.4 	| 0.577 |
| newstest2010.en.fr 	| 32.7 	| 0.596 |
| newstest2011.en.fr 	| 34.3 	| 0.611 |
| newstest2012.en.fr 	| 31.8 	| 0.592 |
| newstest2013.en.fr 	| 33.2 	| 0.589 |
| Tatoeba.en.fr 	| 50.5 	| 0.672 |

