Instructions to use WindstormLabs/translate-de-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-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-de-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a86be055cf4ebd5eefd84f35e470571576f9cad001b2731831c38b8a3c95910b
- Size of remote file:
- 829 kB
- SHA256:
- 19e06c77f81e26651b3d3f786dc4fde68a9f729fa3b735923e733b652bab965c
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