Instructions to use WindyWord/translate-war-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-war-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-war-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-war-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05a2195a4031ec77516a7d748ea803f3dd574ff5e56322098a0db2d032d70fa5
- Size of remote file:
- 76.7 MB
- SHA256:
- c0847f1080a437d0523e98cbb881acbfe601cf753fc65cef65c3e49949c9656f
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