Instructions to use WindstormLabs/translate-de-pon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pon 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-pon")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddbc2017f2b548dcbc781ff9d2d710ea9e76947520b5d45023f1b64f73c76387
- Size of remote file:
- 75.3 MB
- SHA256:
- d3d3c929c646212d501d4576bbac5e3fa1ec6ca8956bee7e1e76611ebc388308
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