Instructions to use WindstormLabs/translate-de-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-hr 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-hr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-hr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f548ba4fdb50053d7bcc4174ed6350219dd88b89065c5c6cb50353542b5a7d6
- Size of remote file:
- 817 kB
- SHA256:
- e2c0bce155991c19f2bddaafb9267569512d40ac8df8d2e196b0fa868f64c1d5
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