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:
- 1d0406a3ea2cfece329837871441f64cea6fa38c0d7a1e1d223a4cd6eb23c956
- Size of remote file:
- 69.3 MB
- SHA256:
- 196054f9c220b97899a47753c8d66bad01ba04c749002d8fd9b1f56986aaa0c9
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