Instructions to use WindyWord/translate-pag-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pag-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-pag-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pag-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9635fb4e98f59085b05ffb4d87a50ae6382d130171299f8031995f4274f25882
- Size of remote file:
- 77.9 MB
- SHA256:
- 1e6f5a116380cf667c502a91f931d8bef5e6b87ff94fae90489de9d9856b248d
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