Instructions to use WindstormLabs/translate-ar-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ar-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ar-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92a8e5481e03b6ea2e1c94a2c2a9b469b3638f64b2b1c89265159e0c6af7221c
- Size of remote file:
- 917 kB
- SHA256:
- 484f7210e5f4466f7e5b99b660717c6ef2a6f90746196daba507795b69dc02a2
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