Instructions to use WindyWord/translate-sv-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-war 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-sv-war")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-war", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a5d9e1ee2c157b55a34eb208b990bbd5a6eb7319d4b8252f16d0827d97292bc
- Size of remote file:
- 76.7 MB
- SHA256:
- 3e9a0512f70fefa3859d681fd67b1b79a6a17249d60827686946db5406a2d63b
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