Instructions to use WindyWord/translate-sv-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-pag 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-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a52b80c19c5e4f1c1705327d6076f6dfb12824df5abe3ce01d5eac67af86dc93
- Size of remote file:
- 853 kB
- SHA256:
- d4c2019915bf6dea12699f0bf207a179f302994132fb93ad4a5aedbbc4e9d5a0
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