Instructions to use WindstormLabs/translate-tum-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tum-fr 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-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tum-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc459969f3c7a77b611609051906a95d6589c69a9dcbdf91dd46d6622d39d225
- Size of remote file:
- 853 kB
- SHA256:
- 20e717fd94d19c496fe2a9f639faddb97c897e45c2904bbbc108bfaac83d21f6
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