Instructions to use WindyWord/translate-sem-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-sem-sem 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-sem-sem")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-sem-sem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
18 days ago
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Model card: correct licence metadata, add LICENSE, link windytranslate.com
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Refresh README with updated variant naming and language labels
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Refresh README with updated variant naming and language labels
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Add model card
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Add lora-ct2-int8 variant
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Add lora variant
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initial commit
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