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:
- 20850580738cca0bb0eba3313935447530fa07de3b3a07f758d82d7061449b8a
- Size of remote file:
- 78.1 MB
- SHA256:
- 7ac4eeb7bc0a42d822e1a0cefe06c4f38393f8eb76e246867df18e42bbfcdcd3
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