Instructions to use WindyWord/translate-mh-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mh-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-mh-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mh-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c17bb7d079844d0c59c676d8894ac2e6419a9e5cdae11f65317ca9f854ee948c
- Size of remote file:
- 847 kB
- SHA256:
- 888b53e331a594a8bfb5479c1b9318ffeb0967d5dcee22fca86039c9241087c9
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