Instructions to use adrianjoheni/translation-model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrianjoheni/translation-model1 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="adrianjoheni/translation-model1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adrianjoheni/translation-model1") model = AutoModelForSeq2SeqLM.from_pretrained("adrianjoheni/translation-model1") - Notebooks
- Google Colab
- Kaggle
| {"hf_name":"eng-spa","source_languages":"eng","target_languages":"spa","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/eng-spa\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["en","es"],"src_constituents":["eng"],"tgt_constituents":["spa"],"src_multilingual":false,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-spa\/opus-2020-08-18.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-spa\/opus-2020-08-18.test.txt","src_alpha3":"eng","tgt_alpha3":"spa","short_pair":"en-es","chrF2_score":0.721,"bleu":54.9,"brevity_penalty":0.978,"ref_len":77311.0,"src_name":"English","tgt_name":"Spanish","train_date":1597708800000,"src_alpha2":"en","tgt_alpha2":"es","prefer_old":false,"long_pair":"eng-spa","helsinki_git_sha":"d2f0910c89026c34a44e331e785dec1e0faa7b82","transformers_git_sha":"f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9","port_machine":"brutasse","port_time":"2020-08-24-18:20"} |