Instructions to use WindstormLabs/translate-ar-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ar-el 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-el")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ar-el", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1eed2a960ad6e66f4484a1b2920eee586d7b18b354b960bdb6eb24bea8012fe
- Size of remote file:
- 898 kB
- SHA256:
- cf9228a234591c232544727385067b2ce74fc57505ff1b68091e07b55c5f2c63
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