Instructions to use WindyWord/translate-en-sal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-sal 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-en-sal")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-sal", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aef668fd6c4dcce0a12b364390f99ba1a23321be605fec34efb9eb8d99691dc9
- Size of remote file:
- 804 kB
- SHA256:
- e097b80f5ff1d5d3188faefcde7a9e70583595ee48c8fa62ed4cfe0da36ff747
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