Instructions to use WindyWord/translate-sv-mfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-mfe 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-mfe")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-mfe", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ee981b79a4c914a3838086416fc6490e4f8fc68a83b806bf312920c97908bbd
- Size of remote file:
- 72.8 MB
- SHA256:
- e4c596c9dce993c621ab9cb6a929e27e80db62f3ffffaec254d5743db5f81e04
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