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:
- 58e4bd47e1aa0827a7b7951482b04c2c2322311b61b32b6a3a91e29891561a4c
- Size of remote file:
- 825 kB
- SHA256:
- 21e71c0f007007beab0c123bfe382d20f6e80607f2c01e8f410b4434f98c90fb
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