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:
- 878593f15dd7e7192a209f87086cbd9d2bdb0b042b2c00892fddac17b01bf227
- Size of remote file:
- 72.9 MB
- SHA256:
- f0f6f9ba1011f5cca99efbe829f5ab2c7de3a9c13dc4db6d69c27571ded210c2
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