Instructions to use WindyWord/translate-eo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-en 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-eo-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb071ede7dd9a1a818a314343039aaab84bebfbece6db08db298e56974c9134e
- Size of remote file:
- 820 kB
- SHA256:
- 4b73ee13b2b1884ce2efad714e366c57a3835db2a769a7a356c2328e902ecc7b
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