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:
- 5ac3872e94a77392bdc35ef27473316827fca8c2e716db0f208eb58a413fe330
- Size of remote file:
- 535 kB
- SHA256:
- 743488893e121b9f2a290084833649783dfa511b0cc95589ef90a207a4df76c4
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