Instructions to use morenolq/distilbart-bbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/distilbart-bbc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("morenolq/distilbart-bbc") model = AutoModelForSeq2SeqLM.from_pretrained("morenolq/distilbart-bbc") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
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The model has been generated as part of the in-lab practice of **Deep NLP course** currently held at Politecnico di Torino.
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base_model: sshleifer/distilbart-cnn-12-6
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the BBC News Summary dataset (https://www.kaggle.com/pariza/bbc-news-summary).
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The model has been generated as part of the in-lab practice of **Deep NLP course** currently held at Politecnico di Torino.
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