Instructions to use WindyWord/translate-fi-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03fb5a38c51c1b55b7b4e5e4f8036e537903d21f16c010708f7df407760beeae
- Size of remote file:
- 825 kB
- SHA256:
- 101cfa5de5557774e7074e7b32b64c545927178f543e0739d82d86fdba21c53a
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