Instructions to use Helsinki-NLP/opus-mt-ca-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ca-fr 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-ca-fr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ca-fr") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ca-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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{"hf_name":"cat-fra","source_languages":"cat","target_languages":"fra","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/cat-fra\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"prepro":" normalization + SentencePiece (spm12k,spm12k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-fra\/opus-2020-06-16.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-fra\/opus-2020-06-16.test.txt","src_alpha3":"cat","tgt_alpha3":"fra","short_pair":"ca-fr","chrF2_score":0.694,"bleu":52.4,"brevity_penalty":0.987,"ref_len":5517.0,"src_name":"Catalan","tgt_name":"French","train_date":"2020-06-16","src_alpha2":"ca","tgt_alpha2":"fr","prefer_old":false,"long_pair":"cat-fra","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"
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{"hf_name":"cat-fra","source_languages":"cat","target_languages":"fra","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/cat-fra\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["ca","fr"],"src_constituents":["cat"],"tgt_constituents":["fra"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm12k,spm12k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-fra\/opus-2020-06-16.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-fra\/opus-2020-06-16.test.txt","src_alpha3":"cat","tgt_alpha3":"fra","short_pair":"ca-fr","chrF2_score":0.694,"bleu":52.4,"brevity_penalty":0.987,"ref_len":5517.0,"src_name":"Catalan","tgt_name":"French","train_date":"2020-06-16","src_alpha2":"ca","tgt_alpha2":"fr","prefer_old":false,"long_pair":"cat-fra","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"6bdf998dffa70030e42f512a586f33a15e648edd","port_machine":"brutasse","port_time":"2020-08-19-00:09"}
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