Instructions to use ainize/bart-base-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ainize/bart-base-cnn 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="ainize/bart-base-cnn")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ainize/bart-base-cnn") model = AutoModel.from_pretrained("ainize/bart-base-cnn") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
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