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:
- 2ae712a1daf84685ce5469f1b7f82c09f83baca88def4c6068b6f479dbc9b8b9
- Size of remote file:
- 862 kB
- SHA256:
- bc6ec196ee015e1c5759fa84c6946f2c45a939c8b26cd436011e6931413f5a47
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