Instructions to use WindstormLabs/translate-fr-tum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fr-tum 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-fr-tum")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fr-tum", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49a4473cd031ea2d771a9018fd63617e3a37061c39183fbd98510de2e9a17c62
- Size of remote file:
- 840 kB
- SHA256:
- dbc3feec2eea4e502397ea9b7e6f1600e30d3e1970e87735340f89eea89a4e81
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