Instructions to use WindstormLabs/translate-tr-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-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-tr-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fbd3b9b65d847d49b2af95704aa9d2a1bdea9ce8651dfac97552d75c4823b9d
- Size of remote file:
- 843 kB
- SHA256:
- b9902ff3e13908c79e97517766bf7adda7e4c29b336958bc8a1ae2c921f6e8ae
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