Instructions to use WindstormLabs/translate-ja-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-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="WindstormLabs/translate-ja-vi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-vi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7efff765ae67154a4811c9a9389fc4a722fb6cac59842af86e87c1a230ee3372
- Size of remote file:
- 840 kB
- SHA256:
- d6d043e769032763788380b2851869987ca6f22b27e779468d4f704afd2e8473
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