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- config.json +2 -0
- model_description.txt +9 -0
README.md
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---
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language:
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- ca
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- fr
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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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Catalan - French 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/translate-cat-fra", 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("Hola amics")
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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) | 41.4 |
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| Flores200 dataset | 35.4 |
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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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config.json
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{
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}
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model_description.txt
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Model description: cat-fra
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Date: 2022-11-14
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TF version 2.10.0, OpenNMT version 2.29.1, CTranslate2 version 2.24.0
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Test data set
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BLEU|nrefs:1|case:mixed|eff:no|tok:13a|smooth:exp|version:2.1.0 = 41.4 67.8/47.5/35.9/27.7 (BP = 0.978 ratio = 0.979 hyp_len = 155890 ref_len = 159288)
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chrF2|nrefs:1|case:mixed|eff:yes|nc:6|nw:0|space:no|version:2.1.0 = 65.1
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Flores data set
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BLEU|nrefs:1|case:mixed|eff:no|tok:13a|smooth:exp|version:2.1.0 = 35.4 65.0/42.4/29.8/21.5 (BP = 0.970 ratio = 0.971 hyp_len = 27511 ref_len = 28343)
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chrF2|nrefs:1|case:mixed|eff:yes|nc:6|nw:0|space:no|version:2.1.0 = 61.3
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