Instructions to use WindstormLabs/translate-ar-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ar-fr 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-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ar-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02f1ba35576be28cf46c4288385587fae5cdea8728136c3fad41c07a69a157fa
- Size of remote file:
- 918 kB
- SHA256:
- 562fad8433a217ccafb56a30bad44a8d976fde802ee09e8b237f9cb281d1dcc7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.