Instructions to use WindstormLabs/translate-he-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-he-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-he-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-he-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79565ad830d75f962666fd280079430503ee21652a146c3685b2b38c09234fb4
- Size of remote file:
- 78.6 MB
- SHA256:
- a239a8ff49bd09802250a738b1d9f3461cfbf6163e9c99c2c7ee25de63d598e1
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