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:
- 57551183fcd5e83ee0e5a96300d0ee9a9140cdfd76abd7bf272523b683cbd974
- Size of remote file:
- 812 kB
- SHA256:
- 08a52c274f19ffd57cca57210beccd08fc42367ea15f8093b738f22a3b11dc4b
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