Instructions to use WindstormLabs/translate-ee-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ee-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-ee-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ee-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e2e0d60917568205f0f68f154837f6da88468aa94ad58e8dc7982d4f1237319
- Size of remote file:
- 833 kB
- SHA256:
- 7e4f33b5134b8508ab81e0428324925ec90986392ca226806a8a031e16eaa224
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