Instructions to use WindstormLabs/translate-it-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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-it-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 840174349aa7ccf5b204e2fedba5b0030ee77ea1eaad10439daf6220e2e2ad26
- Size of remote file:
- 78.7 MB
- SHA256:
- 0cd23ccdd04920aa7ed02dbe6eace7686c86e89d7bb6d11262014d621c03ef63
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