Initial version
Browse files- .gitattributes +2 -0
- README.md +58 -3
- model.bin +3 -0
- shared_vocabulary.txt +0 -0
- sp_m.model +3 -0
.gitattributes
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README.md
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---
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language:
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- ca
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- en
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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 - English translation model based on OpenNMT. These are the same models that we have in production at https://www.softcatala.org/traductor/.
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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 translation using Python:
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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-cat-eng", 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 món")
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import ctranslate2
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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) | 46.9 |
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| Flores101 dataset | 41.2 |
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model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:69aae95c67116ca854eb2caf4f91d7409a3b3c0606711210dbac7748f4a837ce
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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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oid sha256:ee17b2bbb3792b3280657ec591ceb013c4916fd987e545add5f347c33515c668
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size 1146694
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