Instructions to use debbiesoon/bart_large_summarise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/bart_large_summarise with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("debbiesoon/bart_large_summarise") model = AutoModelForSeq2SeqLM.from_pretrained("debbiesoon/bart_large_summarise", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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should probably proofread and complete it, then remove this comment. -->
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# bart_large_summarise
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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It achieves the following results on the evaluation set:
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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It achieves the following results on the evaluation set:
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