Instructions to use WindstormLabs/translate-cs-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-cs-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-cs-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-cs-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57acc44fda768cfcda3633293f852af87bf3036f01ffff8cb729f6cc8898c8f0
- Size of remote file:
- 75.7 MB
- SHA256:
- 77433e2803d66c5caa8129f6b9ee3beff5d589eb37c230990ae524cfa8b8726e
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