Instructions to use WindyWord/translate-ng-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ng-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-ng-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ng-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b02ff5080a1720481817f8aa63ea248a9162d7a9ef6e48acf1fa8f3e009dcf4
- Size of remote file:
- 71.7 MB
- SHA256:
- a3bd535e7098ec8a67db0e92f05d1579a5ffa951f282ae7fc7f9c1a2c9fd2e87
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