Instructions to use WindstormLabs/translate-en-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-is 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-en-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca16aa5d503d970dd206dfa68c1b99284adfd182a94549f36337d3c9ad27b76f
- Size of remote file:
- 792 kB
- SHA256:
- cf04fafafad3d4083e96c1fd9754935024655815036c80894d7c399fdf961a5a
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