Instructions to use WindyWord/translate-sv-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-hil 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="WindyWord/translate-sv-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82911865f14ecad639a9cc94e1eab1944c3e236da2dbd0635594cce29c656e3
- Size of remote file:
- 853 kB
- SHA256:
- 337bd29be2f152c78dbadd8601da5aa3fadfa21aa358b561ce0c953d04e970f0
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