Instructions to use WindyWord/translate-niu-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-niu-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-niu-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-niu-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c3ce56c7af51a8f7dad328f9ef4189c088f274ab54e154d6b3c7354ac5da0e7
- Size of remote file:
- 506 kB
- SHA256:
- a49c143e9477b356f34e3e14b3d6b287be9dfd9617310d8b896e020d26ae4976
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