Instructions to use WindyWord/translate-yap-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yap-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-yap-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yap-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9abd4936b3c85eb587e75571be9ee2c27a15cc3204964f311b85bb080efe2322
- Size of remote file:
- 802 kB
- SHA256:
- 7fcd82c57757482eca15c9a7d6338379e102b45e9de3ce6271ba99d6168fb055
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