Instructions to use Helsinki-NLP/opus-mt-urj-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-urj-en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-urj-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-urj-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-urj-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metadata.json from Helsinki-NLP/opus-mt-urj-en: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/Helsinki-NLP/opus-mt-urj-en/resolve/main/metadata.json
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-urj-en/metadata.json
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curl -L -o metadata.json https://huggingface.co/Helsinki-NLP/opus-mt-urj-en/resolve/main/metadata.json
1.22 kB
| {"hf_name":"urj-eng","source_languages":"urj","target_languages":"eng","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/urj-eng\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["se","fi","hu","et","urj","en"],"src_constituents":["izh","mdf","vep","vro","sme","myv","fkv_Latn","krl","fin","hun","kpv","udm","liv_Latn","est","mhr","sma"],"tgt_constituents":["eng"],"src_multilingual":true,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/urj-eng\/opus2m-2020-08-01.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/urj-eng\/opus2m-2020-08-01.test.txt","src_alpha3":"urj","tgt_alpha3":"eng","short_pair":"urj-en","chrF2_score":0.646,"bleu":47.8,"brevity_penalty":0.993,"ref_len":70882.0,"src_name":"Uralic languages","tgt_name":"English","train_date":"2020-08-01","src_alpha2":"urj","tgt_alpha2":"en","prefer_old":false,"long_pair":"urj-eng","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |