Instructions to use WindstormLabs/translate-af-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-af-sv 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-af-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-af-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 037d19bc56cb889a616044642784902eceda8e2c171007d6127a2d3b17c1902e
- Size of remote file:
- 831 kB
- SHA256:
- 10e39cb78722ace31490aaa9ec0458e57129853f521977c34218e57fa64d8a3c
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