Instructions to use Helsinki-NLP/opus-mt-ca-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ca-de 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-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ca-de") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ca-de") - Notebooks
- Google Colab
- Kaggle
| {"hf_name":"cat-deu","source_languages":"cat","target_languages":"deu","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/cat-deu\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["ca","de"],"src_constituents":["cat"],"tgt_constituents":["deu"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm12k,spm12k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-deu\/opus-2020-06-16.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/cat-deu\/opus-2020-06-16.test.txt","src_alpha3":"cat","tgt_alpha3":"deu","short_pair":"ca-de","chrF2_score":0.593,"bleu":39.5,"brevity_penalty":1.0,"ref_len":5643.0,"src_name":"Catalan","tgt_name":"German","train_date":"2020-06-16","src_alpha2":"ca","tgt_alpha2":"de","prefer_old":false,"long_pair":"cat-deu","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |