Instructions to use WindstormLabs/translate-hr-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hr-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-hr-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hr-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f4e18819c99e378c804a8c003068b11d1bf1c302842d79bef59faa89910bf2b
- Size of remote file:
- 807 kB
- SHA256:
- c4e89ce2de73da53759129b5269cac7cc6c3485bc239e7e5f0145f079ade1302
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