Instructions to use entity2260/opus_en_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entity2260/opus_en_zh 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="entity2260/opus_en_zh")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entity2260/opus_en_zh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| - zh | |
| tags: | |
| - translation | |
| ### eng-zho | |
| * source group: English | |
| * target group: Chinese | |
| * OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md) | |
| * model: transformer | |
| * source language(s): eng | |
| * target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant | |
| * 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-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip) | |
| * test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt) | |
| * test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt) | |