Instructions to use chi-vi/hirashiba-mt-tiny-zh-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chi-vi/hirashiba-mt-tiny-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="chi-vi/hirashiba-mt-tiny-zh-vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chi-vi/hirashiba-mt-tiny-zh-vi") model = AutoModelForSeq2SeqLM.from_pretrained("chi-vi/hirashiba-mt-tiny-zh-vi") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Hira's intelligence, Shiba's speed
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This model converts Japanese names from Simplified Chinese to Romaji.
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