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:
- c640e7d25bdef68fbfd4aaea95f478a53f78d226e99ef641c565b0135c314855
- Size of remote file:
- 899 kB
- SHA256:
- 9984faf26bfcb0749004982f5af7c79fcacd680d7148ac3eb57cd73c801dc1f1
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