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:
- 569e08e53287945b750e85d3be5f9c6c867b8781197d5302b2d9b4fb3d68a65d
- Size of remote file:
- 588 kB
- SHA256:
- e0504e71372956e064b0b0da945826a1b364e5de9f7294825b2aedfa12b45035
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