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1from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
2
3tokenizer = AutoTokenizer.from_pretrained("johntsi/nllb-200-distilled-600M_covost2_en-to-15")
4model = AutoModelForSeq2SeqLM.from_pretrained("johntsi/nllb-200-distilled-600M_covost2_en-to-15")
5
6model.eval()
7model.to("cuda")
8
9text = "Translate this text to German."
10inputs = tokenizer(text, return_tensors="pt").to("cuda")
11outputs = model.generate(
12 **inputs,
13 num_beams=5,
14 forced_bos_token_id=tokenizer.lang_code_to_id["deu_Latn"]
15)
16translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
17print(translated_text)| Model | Ar | Ca | Cy | De | Et | Fa | Id | Ja | Lv | Mn | Sl | Sv | Ta | Tr | Zh | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nllb-200-distilled-600M (original) | 20.0 | 39.0 | 26.3 | 35.5 | 23.4 | 15.7 | 39.6 | 21.8 | 14.8 | 10.4 | 30.3 | 41.1 | 20.2 | 21.1 | 34.8 | 26.3 |
| 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 |
| 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 |
| 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 |
@inproceedings{tsiamas-etal-2024-pushing,
title = {{Pushing the Limits of Zero-shot End-to-End Speech Translation}},
author = "Tsiamas, Ioannis and
G{\'a}llego, Gerard and
Fonollosa, Jos{\'e} and
Costa-juss{\`a}, Marta",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.847",
pages = "14245--14267",
}