Instructions to use WindyWord/translate-fr-tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-tpi 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-tpi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-tpi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b221cc64a5da42bbc3bb1f9c61e084f579d9e9aa10ef2242b2db49e766ec18f2
- Size of remote file:
- 73.2 MB
- SHA256:
- 846cdaf7b04bdc338bc58240453596a91fa27c42b235ca36f33e411c7b28ff63
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