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:
- ff954f50111aab1e68c4a1c8fa450d851d0ce22ff80a529f2449bcc95aa5e58e
- Size of remote file:
- 770 kB
- SHA256:
- f1c4494896a202026293b4f70414e124fc14a8d82ca55e6fab2c47b577ba69f2
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