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:
- 2a0adaab6fdda31c27afec65129168ee20d97c6f1088ec4d8c929cefb298566d
- Size of remote file:
- 847 kB
- SHA256:
- 6e271d377d9da1f78468fd17a84f2a3f9ba3fc4748f8822f5e293f35bd5c998a
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