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:
- 999e0864b92f59c8993cfc5bde7fd03e130b04e6a1ce2b11decb3ec967ab1131
- Size of remote file:
- 824 kB
- SHA256:
- 1e15abeeedce58749fd315233b70a5cd4970e2d50b41e17fe8159d3894bf94f3
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