Instructions to use WindyWord/translate-sv-umb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-umb 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-umb")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-umb", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d3bf56fbf4885f47a436908ce5587480c7d230e016686b0bf965ee5fd705daf
- Size of remote file:
- 77 MB
- SHA256:
- cc3c451b0d409eb34009cc266e2b4227e37bd3db3cf25ace3f73f75d61faf40e
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