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:
- 0a141e04cd895b37d750f8f44c4b92beac1e3c467ca0b7d62f2ee22ff891178c
- Size of remote file:
- 78.7 MB
- SHA256:
- 5624c8865bc5c9bbb0b47119248e8afb698a9623ce2fb156cb62c35e1c67f614
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