Instructions to use WindyWord/translate-yap-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yap-sv 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-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yap-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94c7525bdf827602012e36ae6734f62b3b5b5c80866324d5b7f99505a764f413
- Size of remote file:
- 528 kB
- SHA256:
- 68baa5c803332bc3e0b03d4f588ebf07f7bb25446b1e52717a99e06883717b67
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