Instructions to use Helsinki-NLP/opus-mt-cpp-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-cpp-cpp 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-cpp-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-cpp-cpp") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-cpp-cpp") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - id | |
| - cpp | |
| tags: | |
| - translation | |
| license: apache-2.0 | |
| ### cpp-cpp | |
| * source group: Creoles and pidgins, Portuguese-based | |
| * target group: Creoles and pidgins, Portuguese-based | |
| * OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md) | |
| * model: transformer | |
| * source language(s): ind pap | |
| * target language(s): ind pap | |
| * model: transformer | |
| * pre-processing: normalization + SentencePiece (spm32k,spm32k) | |
| * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) | |
| * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip) | |
| * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt) | |
| * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt) | |
| ## Benchmarks | |
| | testset | BLEU | chr-F | | |
| |-----------------------|-------|-------| | |
| | Tatoeba-test.msa-msa.msa.msa | 0.7 | 0.149 | | |
| | Tatoeba-test.msa-pap.msa.pap | 31.7 | 0.577 | | |
| | Tatoeba-test.multi.multi | 21.1 | 0.369 | | |
| | Tatoeba-test.pap-msa.pap.msa | 17.7 | 0.197 | | |
| ### System Info: | |
| - hf_name: cpp-cpp | |
| - source_languages: cpp | |
| - target_languages: cpp | |
| - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md | |
| - original_repo: Tatoeba-Challenge | |
| - tags: ['translation'] | |
| - languages: ['id', 'cpp'] | |
| - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} | |
| - tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} | |
| - src_multilingual: True | |
| - tgt_multilingual: True | |
| - prepro: normalization + SentencePiece (spm32k,spm32k) | |
| - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip | |
| - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt | |
| - src_alpha3: cpp | |
| - tgt_alpha3: cpp | |
| - short_pair: cpp-cpp | |
| - chrF2_score: 0.369 | |
| - bleu: 21.1 | |
| - brevity_penalty: 0.882 | |
| - ref_len: 18.0 | |
| - src_name: Creoles and pidgins, Portuguese-based | |
| - tgt_name: Creoles and pidgins, Portuguese-based | |
| - train_date: 2020-07-26 | |
| - src_alpha2: cpp | |
| - tgt_alpha2: cpp | |
| - prefer_old: False | |
| - long_pair: cpp-cpp | |
| - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 | |
| - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b | |
| - port_machine: brutasse | |
| - port_time: 2020-08-21-14:41 |