Instructions to use WindstormLabs/translate-wls-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-wls-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-wls-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-wls-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ba2bf18e4b290f7fd62208ccb62fe2ea45ef3e8741544c66960d1584150c3ac
- Size of remote file:
- 447 kB
- SHA256:
- b1b7ac50603cbdb0ca79aa439cdcc7235a9f0cb0c734f6a5292e1e2d20bbd179
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