Instructions to use WindstormLabs/translate-de-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ho 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-de-ho")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ho", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00264b4e66f6e65daf21024b32c0740e25416fb4d03b9ffb502da374dd2e9926
- Size of remote file:
- 863 kB
- SHA256:
- fd17023be99d471512d7aece5d67256192bc1cc6d664019605adb1787aeba07a
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