Instructions to use Helsinki-NLP/opus-mt-zh-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-zh-vi 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-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zh-vi") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zh-vi", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 074caf143dc2fca7f9ce2a02ef427d429ad4dc60991848141c38213d056bb544
- Size of remote file:
- 312 MB
- SHA256:
- b4c3f9cecd138d230a9e4d258bc99e87fbc343003b4e83834ab4615d20b8ff22
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