Instructions to use Helsinki-NLP/opus-mt-bnt-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-bnt-en 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-bnt-en", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bnt-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bnt-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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metadata.json
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{"hf_name":"bnt-eng","source_languages":"bnt","target_languages":"eng","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/bnt-eng\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["sn","zu","rw","lg","ts","ln","ny","xh","rn","bnt","en"],"src_constituents":["sna","zul","kin","lug","tso","lin","nya","xho","swh","run","toi_Latn","umb"],"tgt_constituents":["eng"],"src_multilingual":true,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/bnt-eng\/opus2m-2020-07-31.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/bnt-eng\/opus2m-2020-07-31.test.txt","src_alpha3":"bnt","tgt_alpha3":"eng","short_pair":"bnt-en","chrF2_score":0.394,"bleu":23.1,"brevity_penalty":1.0,"ref_len":14565.0,"src_name":"Bantu languages","tgt_name":"English","train_date":"2020-07-31","src_alpha2":"bnt","tgt_alpha2":"en","prefer_old":false,"long_pair":"bnt-eng","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"
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{"hf_name":"bnt-eng","source_languages":"bnt","target_languages":"eng","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/bnt-eng\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["sn","zu","rw","lg","ts","ln","ny","xh","rn","bnt","en"],"src_constituents":["sna","zul","kin","lug","tso","lin","nya","xho","swh","run","toi_Latn","umb"],"tgt_constituents":["eng"],"src_multilingual":true,"tgt_multilingual":false,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/bnt-eng\/opus2m-2020-07-31.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/bnt-eng\/opus2m-2020-07-31.test.txt","src_alpha3":"bnt","tgt_alpha3":"eng","short_pair":"bnt-en","chrF2_score":0.394,"bleu":23.1,"brevity_penalty":1.0,"ref_len":14565.0,"src_name":"Bantu languages","tgt_name":"English","train_date":"2020-07-31","src_alpha2":"bnt","tgt_alpha2":"en","prefer_old":false,"long_pair":"bnt-eng","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"}
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