Instructions to use WindstormLabs/translate-ar-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ar-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ar-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42c4b1acd9fead5bd3e5e83c92af2086c8d6fd135a24862c8e20346b53ba80f3
- Size of remote file:
- 304 kB
- SHA256:
- e31d13d28e90809489610fe38e02be3f0c27f0b826ec7444ad56c0099500f202
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