Instructions to use WindstormLabs/translate-om-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-om-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-om-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-om-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7a7b748a280a351e543fc4247bf5903d41bd78c17ef727145e0c3e9fa79e6a0
- Size of remote file:
- 855 kB
- SHA256:
- 3b8501d157615096e95f410b9ec547396096ee25c8e1fedfd4f8174569f248be
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