Instructions to use WindyWord/translate-fr-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-run 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-fr-run")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42139463957b7089b4b999032af5bdb37377ae783360e0e53ebd2dd64e31794f
- Size of remote file:
- 77.7 MB
- SHA256:
- dfc942e0e07df5537ccdb8eb19c1698aac444b05da0280f0b4278b2e8f25bda1
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