Instructions to use WindstormLabs/translate-en-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-id 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-id")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-id", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a791142ee18ddd7c23d5863ab6f7db31d695d9fd4a725a72860404e329e44ecf
- Size of remote file:
- 74.3 MB
- SHA256:
- bc2a35713a057045ac85d2ec450f2d96fae82a5d189afec3428bd8ded9cbfbfa
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