Instructions to use WindyWord/translate-fi-war with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-war 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-fi-war")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-war", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37584517b187535e0ee9b30ececa6875cb3c23a1b4ebd936dac67fcd8f8173cb
- Size of remote file:
- 814 kB
- SHA256:
- 5eb1c20d8cf3d64432ef79f31fcf3d75bc45c91e40cfccbbe04171d186aae3d5
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