Summarization
Transformers
PyTorch
TensorFlow
JAX
Rust
English
bart
text2text-generation
Eval Results (legacy)
Instructions to use syndi-models/bart-large-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syndi-models/bart-large-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="syndi-models/bart-large-cnn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("syndi-models/bart-large-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("syndi-models/bart-large-cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding generation config file(s)
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metadata: link to `cnn_dailymail` dataset
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add language tag (#4)
- add language tag (6d13d2fa9b8b83e9b1be84e207669b0b846c9e9b) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>c5121e4
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Add evaluation results on the 3.0.0 config of cnn_dailymail (#3)
- Add evaluation results on the 3.0.0 config of cnn_dailymail (5472544826529b15cd37d5544b725db4f4044813) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>9137060
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Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/facebook/bart-large-cnn/README.md4f75298
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