Summarization
Transformers
PyTorch
TensorBoard
French
English
bart
text2text-generation
Generated from Trainer
Instructions to use Benjiccee/BART-CNN-Orangesum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjiccee/BART-CNN-Orangesum 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="Benjiccee/BART-CNN-Orangesum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Benjiccee/BART-CNN-Orangesum") model = AutoModelForSeq2SeqLM.from_pretrained("Benjiccee/BART-CNN-Orangesum") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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- summarization
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datasets:
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- orange_sum
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model-index:
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- name: BART-CNN-Orangesum
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results: []
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language:
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- fr
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- en
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---
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# BART-CNN-Orangesum
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---
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language:
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- fr
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- en
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license: mit
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tags:
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- generated_from_trainer
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- summarization
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datasets:
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- orange_sum
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base_model: facebook/bart-large-cnn
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model-index:
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- name: BART-CNN-Orangesum
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results: []
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---
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# BART-CNN-Orangesum
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