Instructions to use WindstormLabs/translate-id-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-id-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-id-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-id-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca09f56956a11ff0ea0a844d146250191dcbd84538df920d9a626a73f87a663c
- Size of remote file:
- 74.3 MB
- SHA256:
- a6c0f2829aa5cb4dc3554ebdd2b278cd2bc08d8486b0606d826b2c42896a4588
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