Instructions to use WindstormLabs/translate-de-pap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pap 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-pap")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5592bcd49116e5b893f6be5ddac3f8428f5568742024e405cb3084b68aacf3ac
- Size of remote file:
- 823 kB
- SHA256:
- 29afc94b1f1916c127d27e2f47c113fe0537d02842fe222c009d8f5e46dfd9bf
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