Instructions to use WindstormLabs/translate-ja-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-ar 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-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2762f7da7d7ef5f0923f036b03040c62e7417a107479e92591fd95fae4f7ed54
- Size of remote file:
- 904 kB
- SHA256:
- 2bc123dbffda5a969ee6dceb60bd1a563e8918e14e65ea3075bfe90f6c1fb6b1
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