Instructions to use WindyWord/translate-es-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-war 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-war")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-war", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d228ef70d23fde8b4e8a5674d53312f5adf4d2d004950d44cc9871f268982cec
- Size of remote file:
- 76.9 MB
- SHA256:
- e84eacc56c5f1038f1006964391338b04afca929f2fdc43da9e423120d3f3d49
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