Instructions to use WindyWord/translate-ar-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ar-pl 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="WindyWord/translate-ar-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ar-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4840e6c806cefd37d2c51e56644c75f2aa5f21f2395d0ad2de28959dc80522ee
- Size of remote file:
- 310 MB
- SHA256:
- d40ce5b0e326721b30d70786753aa44e90cf7506de7808ae696d3e3bf9b8d0b5
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