Instructions to use WindstormLabs/translate-el-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-el-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-el-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-el-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12b209c5fad9e2824c0c2e127a3800a42a6f25b7f43d7d9eb8b444b287d653b5
- Size of remote file:
- 1.01 MB
- SHA256:
- 7e17f5e4dcd8cd0c9c9316cb08961b4d72fe255682392c467299d9bd6691f37c
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