Instructions to use WindstormLabs/translate-tr-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-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-tr-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f15fbf9bdd9251a9991fa2baa956fba94212a1afcff34ea28db0c2a113cfaaa1
- Size of remote file:
- 847 kB
- SHA256:
- 3b9d6d54646ac910da3d9664e327503b77d2344362d07497088aadf73ff621c7
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