Instructions to use WindstormLabs/translate-es-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-es 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="WindstormLabs/translate-es-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa18000f77bc077a8bc244367f039495af32ec9836fc08f186f53ef211b92815
- Size of remote file:
- 813 kB
- SHA256:
- 93f941cf8afc7041c72c3cdd6e38253c26b8b41ad242db970f0fd0a9ef1f9173
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