Instructions to use Nextcloud-AI/opus-mt-ar-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ar-it 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="Nextcloud-AI/opus-mt-ar-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ar-it") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ar-it") - Notebooks
- Google Colab
- Kaggle
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{"hf_name":"ara-ita","source_languages":"ara","target_languages":"ita","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/ara-ita\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-ita\/opus-2020-07-03.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-ita\/opus-2020-07-03.test.txt","src_alpha3":"ara","tgt_alpha3":"ita","short_pair":"ar-it","chrF2_score":0.658,"bleu":44.2,"brevity_penalty":0.989,"ref_len":1495.0,"src_name":"Arabic","tgt_name":"Italian","train_date":"2020-07-03","src_alpha2":"ar","tgt_alpha2":"it","prefer_old":false,"long_pair":"ara-ita","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"
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{"hf_name":"ara-ita","source_languages":"ara","target_languages":"ita","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/ara-ita\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["ar","it"],"src_constituents":["apc","ara","arq_Latn","arq","afb","ara_Latn","apc_Latn","arz"],"tgt_constituents":["ita"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-ita\/opus-2020-07-03.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-ita\/opus-2020-07-03.test.txt","src_alpha3":"ara","tgt_alpha3":"ita","short_pair":"ar-it","chrF2_score":0.658,"bleu":44.2,"brevity_penalty":0.989,"ref_len":1495.0,"src_name":"Arabic","tgt_name":"Italian","train_date":"2020-07-03","src_alpha2":"ar","tgt_alpha2":"it","prefer_old":false,"long_pair":"ara-ita","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"6bdf998dffa70030e42f512a586f33a15e648edd","port_machine":"brutasse","port_time":"2020-08-19-00:09"}
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