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:
- f21c270d6380942716a643ec2a58a759d5217d1c8a17790d0829a7c7ad1ea67b
- Size of remote file:
- 77.9 MB
- SHA256:
- 7762ad229ab31063a32118351728be0496289264364b3f1392b33526a39e5fcb
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