Instructions to use WindstormLabs/translate-ar-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ar-es 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-ar-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ar-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ae33f521a814a55b749b20c8d308eabbb3539a52bab5b4debda59118476b27f
- Size of remote file:
- 923 kB
- SHA256:
- faf17ff693fa03d84e690faeb2cd2374587a125c732c612c0f0cdc6bb0ae4a06
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