Instructions to use WindyWord/translate-fr-fj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-fj 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-fj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-fj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c038d67faa3396f1f32c0f4b60e84ff23841dd39d84d44776b77eaa2626fd67d
- Size of remote file:
- 844 kB
- SHA256:
- 2d4c8b6a168ec473eb0b3b4777f77923a67cf5b6fb42f63e587a44300d3a1ef5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.