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:
- a77e816dc8bea8735ff9e63ba24b4e0b10e7f853cca7b00dcd75474862831003
- Size of remote file:
- 75.3 MB
- SHA256:
- abff3b9121210fd386e728be6ab1910acbb6e8b404159b2f76c1e4580a9a68fa
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