Instructions to use WindstormLabs/translate-pap-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-pap-de 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-pap-de")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-pap-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1be84112639f4521ce60d6555791613aaae608b912c846136948961935991f7
- Size of remote file:
- 77.1 MB
- SHA256:
- 9611e5a205bf02f7fad7aefe1431eec7e23b40450fed26f8a9288810fdc3403c
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