Instructions to use WindstormLabs/translate-de-iso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-iso 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-iso")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-iso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 039216a9988ad88493d1814bc77b093347955a08735977d5219b9c87a5a33d9f
- Size of remote file:
- 70.6 MB
- SHA256:
- 1057f8e464574d528b262e17d64a7f1be82a445ed183a1ea85e9bf02620c6bf7
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