Instructions to use WindstormLabs/translate-tw-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tw-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-tw-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tw-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5612996cdd23dd7e7f41c6e8cfd22a5d31573ad27c82035d76fdd8ab14ffb120
- Size of remote file:
- 77.1 MB
- SHA256:
- ac00c51d270b8cd7e5871b8da14f1fc91fc95ad375e949f31904ce4f279d9bac
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