Instructions to use WindyWord/translate-sal-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sal-en 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-sal-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sal-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72e40caecf514a8df00a001ffb9cb77124804254dd44d4cbcbd761383ac34172
- Size of remote file:
- 806 kB
- SHA256:
- b36de95a30737d15f38fed705cbe062f363cdc30c8e6007201372abeaa06a95e
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