Instructions to use WindstormLabs/translate-tum-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tum-en 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-tum-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tum-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e555abb4df7f3c8e0b9eb018f469380bc9bd2644cb7bf03162154392fad9389e
- Size of remote file:
- 852 kB
- SHA256:
- cce588bd9a2ad445ffbb7e2e9ee4533c92e7e456c74cc42ac68350803978f235
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