Instructions to use Helsinki-NLP/opus-mt-euq-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-euq-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-euq-en")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-euq-en") model = AutoModelForMultimodalLM.from_pretrained("Helsinki-NLP/opus-mt-euq-en") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - euq | |
| - en | |
| tags: | |
| - translation | |
| license: apache-2.0 | |
| ### euq-eng | |
| * source group: Basque (family) | |
| * target group: English | |
| * OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md) | |
| * model: transformer | |
| * source language(s): eus | |
| * target language(s): eng | |
| * model: transformer | |
| * pre-processing: normalization + SentencePiece (spm12k,spm12k) | |
| * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip) | |
| * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt) | |
| * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.eval.txt) | |
| ## Benchmarks | |
| | testset | BLEU | chr-F | | |
| |-----------------------|-------|-------| | |
| | Tatoeba-test.eus.eng | 41.5 | 0.594 | | |
| | Tatoeba-test.eus-eng.eus.eng | 41.5 | 0.594 | | |
| ### System Info: | |
| - hf_name: euq-eng | |
| - source_languages: euq | |
| - target_languages: eng | |
| - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md | |
| - original_repo: Tatoeba-Challenge | |
| - tags: ['translation'] | |
| - languages: ['euq', 'en'] | |
| - src_constituents: {'eus'} | |
| - tgt_constituents: {'eng'} | |
| - src_multilingual: False | |
| - tgt_multilingual: False | |
| - prepro: normalization + SentencePiece (spm12k,spm12k) | |
| - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip | |
| - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt | |
| - src_alpha3: euq | |
| - tgt_alpha3: eng | |
| - short_pair: euq-en | |
| - chrF2_score: 0.594 | |
| - bleu: 41.5 | |
| - brevity_penalty: 0.9640000000000001 | |
| - ref_len: 8157.0 | |
| - src_name: Basque (family) | |
| - tgt_name: English | |
| - train_date: 2020-07-26 | |
| - src_alpha2: euq | |
| - tgt_alpha2: en | |
| - prefer_old: False | |
| - long_pair: euq-eng | |
| - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 | |
| - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b | |
| - port_machine: brutasse | |
| - port_time: 2020-08-21-14:41 |