Instructions to use WindstormLabs/translate-de-el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-el 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-de-el")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-el", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15a14b3fa06e77122ada72128442d8e1466d2d8b669b37de91ecbd0db0ae1d69
- Size of remote file:
- 828 kB
- SHA256:
- 32812bb294c5e90650d6f27cedc53360a389c47f03e879aefa8b175e4fc92c31
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