Instructions to use Helsinki-NLP/opus-mt-en-sla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-sla 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-sla")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-sla") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-sla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download metadata.json from Helsinki-NLP/opus-mt-en-sla: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/Helsinki-NLP/opus-mt-en-sla/resolve/refs%2Fpr%2F1/metadata.json
- Command line
-
hf download hf://Helsinki-NLP/opus-mt-en-sla@refs/pr/1/metadata.json
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curl -L -o metadata.json https://huggingface.co/Helsinki-NLP/opus-mt-en-sla/resolve/refs%2Fpr%2F1/metadata.json
1.29 kB
| {"hf_name":"eng-sla","source_languages":"eng","target_languages":"sla","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/eng-sla\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"languages":["en","be","hr","mk","cs","ru","pl","bg","uk","sl","sla"],"src_constituents":["eng"],"tgt_constituents":["bel","hrv","orv_Cyrl","mkd","bel_Latn","srp_Latn","bul_Latn","ces","bos_Latn","csb_Latn","dsb","hsb","rus","srp_Cyrl","pol","rue","bul","ukr","slv"],"src_multilingual":false,"tgt_multilingual":true,"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-sla\/opus2m-2020-08-01.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/eng-sla\/opus2m-2020-08-01.test.txt","src_alpha3":"eng","tgt_alpha3":"sla","short_pair":"en-sla","chrF2_score":0.61,"bleu":41.0,"brevity_penalty":0.976,"ref_len":64809.0,"src_name":"English","tgt_name":"Slavic languages","train_date":"2020-08-01","src_alpha2":"en","tgt_alpha2":"sla","prefer_old":false,"long_pair":"eng-sla","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"2207e5d8cb224e954a7cba69fa4ac2309e9ff30b","port_machine":"brutasse","port_time":"2020-08-21-14:41"} |