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:
- 6c9faa68e9f7cc4ed9d88518a0326c95eef8aea293566d25dbfee1c9ec6a5334
- Size of remote file:
- 853 kB
- SHA256:
- 7427c1df4ef190c68a0b74fc56aa390cfba6195dd2bbca685358fd976b9e2731
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