Instructions to use Helsinki-NLP/opus-mt-es-mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-es-mk 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-es-mk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-mk") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-mk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"hf_name":"spa-mkd","source_languages":"spa","target_languages":"mkd","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/spa-mkd\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["es","mk"],"src_constituents":["spa"],"tgt_constituents":["mkd"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-mkd\/opus-2020-06-17.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-mkd\/opus-2020-06-17.test.txt","src_alpha3":"spa","tgt_alpha3":"mkd","short_pair":"es-mk","chrF2_score":0.681,"bleu":48.2,"brevity_penalty":1.0,"ref_len":1073.0,"src_name":"Spanish","tgt_name":"Macedonian","train_date":"2020-06-17","src_alpha2":"es","tgt_alpha2":"mk","prefer_old":false,"long_pair":"spa-mkd","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"
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{"hf_name":"spa-mkd","source_languages":"spa","target_languages":"mkd","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/spa-mkd\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["es","mk"],"src_constituents":["spa"],"tgt_constituents":["mkd"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-mkd\/opus-2020-06-17.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/spa-mkd\/opus-2020-06-17.test.txt","src_alpha3":"spa","tgt_alpha3":"mkd","short_pair":"es-mk","chrF2_score":0.681,"bleu":48.2,"brevity_penalty":1.0,"ref_len":1073.0,"src_name":"Spanish","tgt_name":"Macedonian","train_date":"2020-06-17","src_alpha2":"es","tgt_alpha2":"mk","prefer_old":false,"long_pair":"spa-mkd","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}
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