Instructions to use WindstormLabs/translate-lg-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lg-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-lg-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lg-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6012218f555dffaf4855ab2a24e583a3f5088c565135d3080755e00dc143a6c1
- Size of remote file:
- 825 kB
- SHA256:
- 8ee55d5ce03b8f8b691cde299055efb72d429180c3e2277aaf5321c82223f940
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