Instructions to use WindyWord/translate-es-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-pag 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-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 437fff7ed781bee74d2c88131b430bfe8ededf294404d9a7b4b9da53100cc510
- Size of remote file:
- 77 MB
- SHA256:
- 000c9bba2a4474f6b8b24ace75be1168a3685d83448e984a104864cb41475181
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