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README.md
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@@ -50,7 +50,9 @@ translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(translated_text)
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```
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## Results
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| Model | Ar | Ca | Cy | De | Et | Fa | Id | Ja | Lv | Mn | Sl | Sv | Ta | Tr | Zh | Average |
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|:------------------------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:-------:|
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| [nllb-200-distilled-600M_covost2_en-to-15](https://huggingface.co/johntsi/nllb-200-distilled-600M_covost2_en-to-15) | 28.5 | 46.3 | 35.5 | 37.1 | 31.5 | 29.2 | 45.2 | 38.4 | 29.1 | 22.0 | 37.7 | 45.4 | 29.9 | 23.0 | 46.7 | 35.0 |
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| [nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) (original) | 23.3 | 43.5 | 33.5 | 37.9 | 27.9 | 16.6 | 41.9 | 23.0 | 20.0 | 13.1 | 35.1 | 43.8 | 21.7 | 23.8 | 37.5 | 29.5 |
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| [nllb-200-distilled-1.3B_covost2_en-to-15](https://huggingface.co/johntsi/nllb-200-distilled-1.3B_covost2_en-to-15) | 29.9 | 47.8 | 35.6 | 38.8 | 32.7 | 29.9 | 46.4 | 39.5 | 29.9 | 21.7 | 39.3 | 46.8 | 31.0 | 24.4 | 48.2 | 36.1 |
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print(translated_text)
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```
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## Results
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#### BLEU scores on CoVoST2 test
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| Model | Ar | Ca | Cy | De | Et | Fa | Id | Ja | Lv | Mn | Sl | Sv | Ta | Tr | Zh | Average |
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|:------------------------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:-------:|
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| [nllb-200-distilled-600M_covost2_en-to-15](https://huggingface.co/johntsi/nllb-200-distilled-600M_covost2_en-to-15) | 28.5 | 46.3 | 35.5 | 37.1 | 31.5 | 29.2 | 45.2 | 38.4 | 29.1 | 22.0 | 37.7 | 45.4 | 29.9 | 23.0 | 46.7 | 35.0 |
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| [nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) (original) | 23.3 | 43.5 | 33.5 | 37.9 | 27.9 | 16.6 | 41.9 | 23.0 | 20.0 | 13.1 | 35.1 | 43.8 | 21.7 | 23.8 | 37.5 | 29.5 |
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| [nllb-200-distilled-1.3B_covost2_en-to-15](https://huggingface.co/johntsi/nllb-200-distilled-1.3B_covost2_en-to-15) | 29.9 | 47.8 | 35.6 | 38.8 | 32.7 | 29.9 | 46.4 | 39.5 | 29.9 | 21.7 | 39.3 | 46.8 | 31.0 | 24.4 | 48.2 | 36.1 |
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## Citation
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If you find these models useful for your research, please cite our paper :)
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```
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@misc{tsiamas2024pushing,
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title={{Pushing the Limits of Zero-shot End-to-End Speech Translation}},
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author={Ioannis Tsiamas and Gerard I. Gállego and José A. R. Fonollosa and Marta R. Costa-jussà},
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year={2024},
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eprint={2402.10422},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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