Instructions to use WindyWord/translate-tll-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-en 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-tll-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9fee972f85235272f4fe8c777611a16311ed038c2f27b1e0ebfbbe55809d290
- Size of remote file:
- 806 kB
- SHA256:
- f181a1b364a872fed47ae1b3a72abaff6e9880ac387376e5a4a0eefa65972cc9
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