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:
- a15274b6b454da4db07da09772b904b643c35145eab7214d289f57a50cf97a78
- Size of remote file:
- 74.8 MB
- SHA256:
- 2a428d99959eb2d0536668a206dd2841598de704b74610a81c84dbfc2cc19f25
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