Instructions to use Helsinki-NLP/opus-mt-he-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-he-uk 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-he-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-he-uk") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-he-uk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"hf_name":"heb-ukr","source_languages":"heb","target_languages":"ukr","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/heb-ukr\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["he","uk"],"src_constituents":["heb"],"tgt_constituents":["ukr"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/heb-ukr\/opus-2020-06-17.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/heb-ukr\/opus-2020-06-17.test.txt","src_alpha3":"heb","tgt_alpha3":"ukr","short_pair":"he-uk","chrF2_score":0.552,"bleu":35.4,"brevity_penalty":0.971,"ref_len":5163.0,"src_name":"Hebrew","tgt_name":"Ukrainian","train_date":"2020-06-17","src_alpha2":"he","tgt_alpha2":"uk","prefer_old":false,"long_pair":"heb-ukr","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"
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{"hf_name":"heb-ukr","source_languages":"heb","target_languages":"ukr","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/heb-ukr\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["he","uk"],"src_constituents":["heb"],"tgt_constituents":["ukr"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/heb-ukr\/opus-2020-06-17.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/heb-ukr\/opus-2020-06-17.test.txt","src_alpha3":"heb","tgt_alpha3":"ukr","short_pair":"he-uk","chrF2_score":0.552,"bleu":35.4,"brevity_penalty":0.971,"ref_len":5163.0,"src_name":"Hebrew","tgt_name":"Ukrainian","train_date":"2020-06-17","src_alpha2":"he","tgt_alpha2":"uk","prefer_old":false,"long_pair":"heb-ukr","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}
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