Instructions to use xtie/PEGASUSScore-PET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xtie/PEGASUSScore-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/PEGASUSScore-PET")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xtie/PEGASUSScore-PET") model = AutoModelForSeq2SeqLM.from_pretrained("xtie/PEGASUSScore-PET") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -25,5 +25,5 @@ To check our domain-adapted text-generation-based evaluation metrics:
|
|
| 25 |
|
| 26 |
|
| 27 |
## 📁 Additional Resources
|
| 28 |
-
- **Codebase for evaluation metrics:** [GitHub](https://github.com/xtie97/PET-Report-Summarization)
|
| 29 |
-
---
|
|
|
|
| 25 |
|
| 26 |
|
| 27 |
## 📁 Additional Resources
|
| 28 |
+
- **Codebase for evaluation metrics:** [GitHub](https://github.com/xtie97/PET-Report-Summarization/tree/main/evaluation_metrics)
|
| 29 |
+
---
|