Instructions to use WindyWord/translate-to-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-to-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="WindyWord/translate-to-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-to-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1127d67f10ecdf7b14dc577797d619a0b004899caac811cd01751252a18e657
- Size of remote file:
- 845 kB
- SHA256:
- 56791a0268a0b054fc8774dad24371a2de20f2b6fda0c7765a96b998ad08f39f
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