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:
- 3272f6084caa8d5e3b16eda5517201792df9fa00d788199e3250cfc46bc903b6
- Size of remote file:
- 76.9 MB
- SHA256:
- 6bb199033034e33eb0654f4490276d81dee2adcc8ee5a40d3e59f712ae7e6987
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