Instructions to use WindyWord/translate-sv-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc984f0275f887d14c7fac8e7bde835e095c4752a054a4ab982423f1119aa99a
- Size of remote file:
- 830 kB
- SHA256:
- 62bf4148d7cf7821c7b987b21f43055ddfee8f64ed4c4adb01089b475e314cbb
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