Instructions to use WindyWord/translate-es-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-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-es-ve")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-ve", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22655eff9d69e04e2afe389e83c7054a30dddffd82ccfbc1ea39bec2eac302a5
- Size of remote file:
- 748 kB
- SHA256:
- e9a8922de9761369834fe681e316eb61b5265d2fa39ee26d0cdfc03f8a842f41
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