Instructions to use Helsinki-NLP/opus-mt-en-iir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-iir 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-en-iir")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-iir") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-iir", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download metadata.json from Helsinki-NLP/opus-mt-en-iir: direct link, hf CLI and curl.
- Browser
- Download file 1.39 kB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-iir/resolve/refs%2Fpr%2F2/metadata.json
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-iir@refs/pr/2/metadata.json
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curl -L -o metadata.json https://huggingface.co/Helsinki-NLP/opus-mt-en-iir/resolve/refs%2Fpr%2F2/metadata.json
1.39 kB
| {"hf_name":"eng-iir","source_languages":"eng","target_languages":"iir","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/eng-iir\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["en","bn","or","gu","mr","ur","hi","ps","os","as","si","iir"],"src_constituents":["eng"],"tgt_constituents":["pnb","gom","ben","hif_Latn","ori","guj","pan_Guru","snd_Arab","npi","mar","urd","pes","bho","kur_Arab","tgk_Cyrl","hin","kur_Latn","pes_Thaa","pus","san_Deva","oss","tly_Latn","jdt_Cyrl","asm","zza","rom","mai","pes_Latn","awa","sin"],"src_multilingual":false,"tgt_multilingual":true,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-iir\/opus2m-2020-08-01.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-iir\/opus2m-2020-08-01.test.txt","src_alpha3":"eng","tgt_alpha3":"iir","short_pair":"en-iir","chrF2_score":0.392,"bleu":13.7,"brevity_penalty":1.0,"ref_len":63351.0,"src_name":"English","tgt_name":"Indo-Iranian languages","train_date":"2020-08-01","src_alpha2":"en","tgt_alpha2":"iir","prefer_old":false,"long_pair":"eng-iir","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |