Instructions to use xtie/BARTScore-PET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtie/BARTScore-PET with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="xtie/BARTScore-PET")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xtie/BARTScore-PET") model = AutoModelForSeq2SeqLM.from_pretrained("xtie/BARTScore-PET") - Notebooks
- Google Colab
- Kaggle
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## 📁 Additional Resources
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- **Codebase for evaluation metrics:** [GitHub
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## 📁 Additional Resources
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- **Codebase for evaluation metrics:** [GitHub](https://github.com/xtie97/PET-Report-Summarization/tree/main/evaluation_metrics)
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