Instructions to use WindyWord/translate-fr-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-ve 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-fr-ve")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-ve", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e8ea6b880175d4c75ab9496a5567066999f877943b487bc6727ec626b566c78
- Size of remote file:
- 74.8 MB
- SHA256:
- da6561169dd3696169d3568d5914036f1ad1a05b3dd5d42c00d8c2c7d28db1d9
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