Instructions to use WindyWord/translate-mfe-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mfe-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-mfe-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mfe-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53e0379a52784581767088e707bc982c809c65d384306ffc766cb9be41818db7
- Size of remote file:
- 673 kB
- SHA256:
- 850234196704638057d99862f36261d550006d4d73daf099ab9fab2c152a0495
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