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:
- 70caa801cedcc86f077a10e7e08a49253400dd3019758170e33e4f984d9e97a5
- Size of remote file:
- 513 kB
- SHA256:
- b8231130ad1e01eefdd033f6a6ad1422290ed6d9c3e42c6aa8163e3de9b81dde
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