Instructions to use WindstormLabs/translate-sv-iso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-iso 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-sv-iso")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-iso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 317bf3b8040e86a97201c35fa2ed2141291db3c175cd2c9ab747b57e6491bc39
- Size of remote file:
- 849 kB
- SHA256:
- 2e9a824ffab2d9364f521cab04114bdd0453bc247a5ba2452986caf3e827f43e
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