Instructions to use WindstormLabs/translate-en-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ar 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-en-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c6ccb57c06983a4bfb7535a1041b41554798695f4e7ffa992f16d6a8f7eb3b8
- Size of remote file:
- 917 kB
- SHA256:
- 67d0f6afb87768c078ee46c0756b8cc94b1ec23c5526b49ecf6c3b2f9197ec39
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