Instructions to use WindyWord/translate-sv-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-run 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-run")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41f99c0372cdb74cfbd11d3a9ea4fb2f67b79b36bd9c100c730084fedddd2a79
- Size of remote file:
- 77.7 MB
- SHA256:
- bdeebe29126a8c033ab5d6f8ea95e38a8dd0690670f4dc642a294e17c7baba41
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