Instructions to use WindstormLabs/translate-de-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-de-it 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-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-de-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95e775276de537a3024b34023b473535d6ec20114c282ecc0f34243d0501b953
- Size of remote file:
- 814 kB
- SHA256:
- 96766b8865772f73f02de781eac203a2f5206f2461b4603061ab7c6aa2aa73d7
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