Instructions to use WindstormLabs/translate-chk-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-chk-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-chk-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-chk-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33cd21290ea97ca25315af8d7f4918b200afcc5369ba0ec4b820ea639a4d98a6
- Size of remote file:
- 801 kB
- SHA256:
- bf040493c8f323443c7a0a78fd1a565b589d68b15292c400da7dc90d8ca27fe0
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