Instructions to use WindyWord/translate-fi-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-tll 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-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 485124f2349c3567b7d3007e702944774a7b9f9138df30449c7489ff9c482ee4
- Size of remote file:
- 891 kB
- SHA256:
- 81816c06cfc27fe56f17b885e33b74dd71f58267f8a1bad234f9306aac1e3daf
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