Instructions to use WindyWord/translate-pag-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pag-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="WindyWord/translate-pag-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pag-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 680dd583b3609925295cf17de3355f6f7cbdacb6b91b26915f42f2d58bd3b690
- Size of remote file:
- 825 kB
- SHA256:
- 199429d7effe1c2926607a8e4a3021b4aa326b8dc1bbb2dff1fbbe5982b19050
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