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:
- 967921ffb51aa85c9c6db55017421e9302fe22ad41e4105644962dcb59400092
- Size of remote file:
- 830 kB
- SHA256:
- 837156735c0cbf7a0e6b8398576cf4333280ffa9d58ccec0f8153590bfa82ed1
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