Instructions to use WindyWord/translate-ro-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ro-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="WindyWord/translate-ro-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ro-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63632d76d57e58284f226ee19c2b2d31ea82debee33ae27757f7b00a3be86716
- Size of remote file:
- 49.6 MB
- SHA256:
- 58fc544783c0038261d6a7bb8de2d96788b18ead54f9c1ca68d0fff844dea78f
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