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.gitattributes

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README.md

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+---
+tags:
+- ctranslate2
+- translation
+license: apache-2.0
+---
+# # Fast-Inference with Ctranslate2
+Speedup inference by 2x-8x using int8 inference in C++
+
+quantized version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en)
+```bash
+pip install hf-hub-ctranslate2>=1.0.0 ctranslate2>=3.13.0
+```
+Converted using
+```
+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
+```
+
+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-fr-en"
+# 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-fr-en")
+)
+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-fr-en
+
+* source languages: fr
+* target languages: en
+*  OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-en/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/fr-en/opus-2020-02-26.zip)
+* 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)
+* 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)
+
+## Benchmarks
+
+| testset               | BLEU  | chr-F |
+|-----------------------|-------|-------|
+| newsdiscussdev2015-enfr.fr.en 	| 33.1 	| 0.580 |
+| newsdiscusstest2015-enfr.fr.en 	| 38.7 	| 0.614 |
+| newssyscomb2009.fr.en 	| 30.3 	| 0.569 |
+| news-test2008.fr.en 	| 26.2 	| 0.542 |
+| newstest2009.fr.en 	| 30.2 	| 0.570 |
+| newstest2010.fr.en 	| 32.2 	| 0.590 |
+| newstest2011.fr.en 	| 33.0 	| 0.597 |
+| newstest2012.fr.en 	| 32.8 	| 0.591 |
+| newstest2013.fr.en 	| 33.9 	| 0.591 |
+| newstest2014-fren.fr.en 	| 37.8 	| 0.633 |
+| Tatoeba.fr.en 	| 57.5 	| 0.720 |
+

config.json

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+{
+  "add_source_bos": false,
+  "add_source_eos": false,
+  "bos_token": "<s>",
+  "decoder_start_token": "</s>",
+  "eos_token": "</s>",
+  "unk_token": "<unk>"
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      59513
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 59513,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59513,
+  "transformers_version": "4.27.0.dev0"
+}

model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c32de81be5de6b9a5d03298173c724f02249371fb7ed6b6fd1ee7501578fe7fc
+size 149872839

tokenizer_config.json

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+{"target_lang": "en", "source_lang": "fr"}