Instructions to use WindstormLabs/translate-sv-chk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-chk 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-chk")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-chk", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aadec41c2a780d49e719ec3fad778519fdd8bbc5119340c62855313f34a480b
- Size of remote file:
- 76.4 MB
- SHA256:
- f7ec0950df1c23e7f2358cc90a19c5d3760f3ae0a405f7019bc2a67205d420f0
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