Instructions to use Nextcloud-AI/opus-mt-ar-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-ar-tr 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-tr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ar-tr") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ar-tr") - Notebooks
- Google Colab
- Kaggle
| {"hf_name":"ara-tur","source_languages":"ara","target_languages":"tur","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/ara-tur\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["ar","tr"],"src_constituents":["apc","ara","arq_Latn","arq","afb","ara_Latn","apc_Latn","arz"],"tgt_constituents":["tur"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-tur\/opus-2020-07-03.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/ara-tur\/opus-2020-07-03.test.txt","src_alpha3":"ara","tgt_alpha3":"tur","short_pair":"ar-tr","chrF2_score":0.619,"bleu":33.1,"brevity_penalty":0.957,"ref_len":6949.0,"src_name":"Arabic","tgt_name":"Turkish","train_date":"2020-07-03","src_alpha2":"ar","tgt_alpha2":"tr","prefer_old":false,"long_pair":"ara-tur","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |