Instructions to use WindstormLabs/translate-sal-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/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="WindstormLabs/translate-sal-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-sal-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3828897a671aecba805df71f8ebccec49d86c1ed5be0697fd1e61d6bc15328ad
- Size of remote file:
- 804 kB
- SHA256:
- e4171b6392b230a7c73d2612cb62c80e5614f1e55274e793e05af70bb67b2025
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