Instructions to use WindyWord/translate-es-wls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-wls 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-wls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-wls", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- facf69a7a5a29aef7a5fef6c303465912f3ba24e92c3e128b9d105083eb783e9
- Size of remote file:
- 67.5 MB
- SHA256:
- c53b37391ecd865c5881704150cf92abff3dacc175442737d30400253b4dcfc2
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