Instructions to use WindstormLabs/translate-ja-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-tr 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-tr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-tr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d934f8530dee1988060cc922df02fee61f397afba47d5a00724f45b41245d1d
- Size of remote file:
- 844 kB
- SHA256:
- c6e31cba44138f336ef07df3f5c3ec3ac11e6a334a7979f0ceed1859344b7b50
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