Instructions to use Nextcloud-AI/opus-mt-fr-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-fr-ar 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-fr-ar")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-fr-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-fr-ar") - Notebooks
- Google Colab
- Kaggle
| {"hf_name":"fra-ara","source_languages":"fra","target_languages":"ara","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/fra-ara\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["fr","ar"],"src_constituents":["fra"],"tgt_constituents":["apc","ara","arq_Latn","arq","afb","ara_Latn","apc_Latn","arz"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/fra-ara\/opus-2020-07-03.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/fra-ara\/opus-2020-07-03.test.txt","src_alpha3":"fra","tgt_alpha3":"ara","short_pair":"fr-ar","chrF2_score":0.439,"bleu":14.4,"brevity_penalty":1.0,"ref_len":7956.0,"src_name":"French","tgt_name":"Arabic","train_date":"2020-07-03","src_alpha2":"fr","tgt_alpha2":"ar","prefer_old":false,"long_pair":"fra-ara","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |