Instructions to use WindstormLabs/translate-de-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e8e4dfe4a03dba3551d68ef5f54e9e9d86a0e6900d881158191ea1c3667acfa
- Size of remote file:
- 71.2 MB
- SHA256:
- 95a2de6c13b2c75a861fa460bdbfec50dfb571f304e5a62dcd88668b265f24ee
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