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README.md
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---
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---
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language:
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- de
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- ca
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tags:
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- translation
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library_name: opennmt
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license: mit
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metrics:
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- bleu
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inference: false
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---
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### Introduction
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German - Catalan translation model for OpenNMT. These are the same models that we have in production at https://www.softcatala.org/traductor/.
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The models are quantified for low latency.
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### Usage
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Install the necessary dependencies:
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```bash
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pip3 install ctranslate2 pyonmttok
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```
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Simple tokenization & translation using Python:
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```python
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import ctranslate2
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import pyonmttok
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from huggingface_hub import snapshot_download
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model_dir = snapshot_download(repo_id="softcatala/opennmt-deu-cat", revision="main")
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tokenizer=pyonmttok.Tokenizer(mode="none", sp_model_path = model_dir + "/sp_m.model")
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tokenized=tokenizer.tokenize("Hallo Freunde")
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translator = ctranslate2.Translator(model_dir)
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translated = translator.translate_batch([tokenized[0]])
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print(tokenizer.detokenize(translated[0][0]['tokens']))
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```
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## Benchmarks
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| testset | BLEU |
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|---------------------------------------|-------|
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| test dataset (from train/dev/test) | 37.2 |
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| Flores101 dataset | 24.8 |
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## Additional information
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* https://github.com/Softcatala/nmt-models
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* https://github.com/Softcatala/parallel-catalan-corpus
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model.bin
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version https://git-lfs.github.com/spec/v1
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size 122582230
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shared_vocabulary.txt
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sp_m.model
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version https://git-lfs.github.com/spec/v1
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