Instructions to use WindyWord/translate-fj-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fj-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-fj-fr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fj-fr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b91f008ac5c081212008f1996aba1f7f038f68e3f160d829a50257bb0b2144e
- Size of remote file:
- 791 kB
- SHA256:
- c7131014dbc7c189b9c346c702812e8a9e4fa8a89a6a055d53f6bc3efa9d8999
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