Instructions to use WindstormLabs/translate-sv-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-sv-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sv-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 719ff5556650c72578633cb5218e65a7a978b5a5ecbe1297ba34ef1323df3c21
- Size of remote file:
- 854 kB
- SHA256:
- e1bab9a51d11e5caa4540137eeeb6dfefa968d9a57a0b8ce1e0f547d4190b276
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