Instructions to use WindyWord/translate-fi-mfe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-mfe 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-mfe")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-mfe", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30a1e8790db3757635fc1b3b1b802ec70c28108030fc27881d4bd8bc8ea78687
- Size of remote file:
- 892 kB
- SHA256:
- cafb99be64c5e3fd6ce29555bb39450bae298189353cf0886801eee2b2a38a7a
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