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
- Xet hash:
- 0b9c595dc7e6951faee3c9d62804bb55488453c136c4ca18ae3681c91cd3ffef
- Size of remote file:
- 470 kB
- SHA256:
- fb9b54b6dffd1ab9c0e7d36f107b3e16e85d6431244a381a6d25ba6ba4f4daba
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