Instructions to use WindstormLabs/translate-de-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-ms 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-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57dc081b215f570d0e9284a9634ccd7369b8d62540dc5e9dc985b21e0461ee4c
- Size of remote file:
- 75.8 MB
- SHA256:
- a3ad612bc2b85c640e9d9642d0ea6039627128de3d4bbe57dafc1b473e5dd229
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