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:
- f88e4a36ac33330829b9c31036110ad364a26a9bb42ae16e6df237c97059c969
- Size of remote file:
- 73.5 MB
- SHA256:
- fc5a653b684b700d6b51a7f4264c92d59aa222b0fe4cf3e019793a7310b55079
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