Instructions to use WindyWord/translate-fr-pag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-pag 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-pag")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-pag", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59b5f7c843f2cee8d6acc6cbcb242e44146817a9a823c51a843acd18f5f94e0e
- Size of remote file:
- 824 kB
- SHA256:
- 59cf1f0bf2e3fbbe714d67caeb7230461687cc6b9f78a5f3127f04618a0df0de
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