Instructions to use Helsinki-NLP/opus-mt-zh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zh-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-zh-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zh-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zh-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
b7d1e2a
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Parent(s): f6f1d2f
Addition of Rust model
Browse files- rust_model.ot +3 -0
rust_model.ot
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version https://git-lfs.github.com/spec/v1
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oid sha256:859d0e2531693a5f003ea110aa5cee1b3439cea362980668923126bbb11d56de
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size 578358061
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