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:
- 372e67c2deb35380df64227c3f152956215c3fb2eb8c4704e34019f6e5f3d6de
- Size of remote file:
- 59.4 MB
- SHA256:
- baddaa5d1e69eb015f561830077f8006842900de141a40b6672b463f758a20f5
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