Instructions to use WindstormLabs/translate-de-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e72703cd6d065ac1c0933a841f284b7686abca8b72f1c058f3f759737ff94ab
- Size of remote file:
- 76.9 MB
- SHA256:
- 1472c6f2402dbafcb13904fa850cff9e44cf243fb539bae4bbf4963a608bad4d
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