Instructions to use Helsinki-NLP/opus-mt-zle-zle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zle-zle 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-zle-zle")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zle-zle") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zle-zle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update metadata.json
Browse files- metadata.json +1 -0
metadata.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"hf_name":"zle-zle","source_languages":"zle","target_languages":"zle","opus_readme_url":"https:\/\/github.com\/Helsinki-NLP\/Tatoeba-Challenge\/tree\/master\/models\/zle-zle\/README.md","original_repo":"Tatoeba-Challenge","tags":["translation"],"prepro":" normalization + SentencePiece (spm32k,spm32k)","url_model":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/zle-zle\/opus-2020-07-27.zip","url_test_set":"https:\/\/object.pouta.csc.fi\/Tatoeba-MT-models\/zle-zle\/opus-2020-07-27.test.txt","src_alpha3":"zle","tgt_alpha3":"zle","short_pair":"zle-zle","chrF2_score":0.742,"bleu":58.0,"brevity_penalty":1.0,"ref_len":62731.0,"src_name":"East Slavic languages","tgt_name":"East Slavic languages","train_date":"2020-07-27","src_alpha2":"zle","tgt_alpha2":"zle","prefer_old":false,"long_pair":"zle-zle","helsinki_git_sha":"480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535","transformers_git_sha":"46e9f53347bbe9e989f0335f98465f30886d8173","port_machine":"brutasse","port_time":"2020-08-18-01:48"}
|