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:
- b0d27248158a69af7749ccfb78979c559a57d4100464c3d907df4583d9577e9e
- Size of remote file:
- 831 kB
- SHA256:
- cec6db04acfd089d61555b55f0026ee8584ff2fa01b8f0f84f40bd49010a1cf0
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