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:
- be6c6f0ca387205d01314313c05b73de59a9683946bf97aa1f60b728e7e0b077
- Size of remote file:
- 656 kB
- SHA256:
- abf4221ac3553607ecc58bc957747c5c45c073ad948493d90a93d52d99c67b3d
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