Instructions to use WindyWord/translate-fr-ho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-ho 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-ho")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-ho", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fe003ed0f30c8bbf1fdf6d5ebdcab4fea767256de9963eb4e465c7eeda5fa1c
- Size of remote file:
- 69.2 MB
- SHA256:
- cd237d0cf7c3319e50b7f93bfd8e8991e7a926318d793741a76eba8c2da4061a
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