Instructions to use WindstormLabs/translate-de-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-no 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-no")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-no", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82e854571f1bdbe3c5c595be971fd56350fff49d6fc22a6096d054405dba6543
- Size of remote file:
- 304 kB
- SHA256:
- 040f34d0e129180818ed5a8e4d5057c940f81f906fdd2e29b132c029be3c2ec2
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