Instructions to use WindyWord/translate-tll-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-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="WindyWord/translate-tll-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2c8cd79962327c2e9f61f35285804424c99284c011fd8d204a7acf66b6c6f49
- Size of remote file:
- 77.4 MB
- SHA256:
- 284b922df8e30bd081c064572b1d41523e4ecd30d0d95c7243ce858b0766ea01
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