Instructions to use WindyWord/translate-yo-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-yo-fi 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-yo-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-yo-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d731f236107dc00ea110154d239d44487f992e9b549374ec510173df0e2ef49a
- Size of remote file:
- 302 MB
- SHA256:
- 2e38b7359af81ea9ef99d91647060d0967a9893875c43a67ee1bdd8e47ae2227
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