Instructions to use WindyWord/translate-sv-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sv-ve 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-ve")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sv-ve", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb24bd8a1305ebc2e244c354752f9567c8996a53e64c9b25a4d6cb2400afa8c2
- Size of remote file:
- 737 kB
- SHA256:
- 8cc89c57bb17c8a0def4cec976b84c7c9332593c55ebc60715b972aad7a751fa
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