Instructions to use WindstormLabs/translate-luo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-luo-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-luo-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-luo-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f5a1d9d6c49f4c3ddcc8bbc4c9e7172cc8d6424242ca662f7977a8b66f16740
- Size of remote file:
- 742 kB
- SHA256:
- cbf8b8828fb12560a5dee3e16968e906029d08dbb0ecec499a623fb10debab6f
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