Instructions to use WindyWord/translate-fr-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-pis 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-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d18e7c448aa1100c005af18d507176567e8334f829d10cdadf774d71eccbfe4
- Size of remote file:
- 588 kB
- SHA256:
- f1bf53c38b53f6a249a1db77552424478e0bad6c23691670446c903d3b5c458e
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