Instructions to use WindstormLabs/translate-sv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-en 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="WindstormLabs/translate-sv-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b20c805674a252b5c746220239865d38c473f5d39f7267968d5784818e3b1576
- Size of remote file:
- 815 kB
- SHA256:
- 845278915ae2a708063110903d08c1e75ebb36607ef16ec9530955e1e95e62b8
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