Instructions to use morenolq/bart-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morenolq/bart-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("morenolq/bart-it") model = AutoModelForSeq2SeqLM.from_pretrained("morenolq/bart-it") - Notebooks
- Google Colab
- Kaggle
MorenoLaQuatra commited on
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Parent(s): 42bd82d
updated models link
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README.md
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@@ -29,9 +29,9 @@ The model in this repository is a pre-trained model without any fine-tuning. In
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The model has been fine-tuned for the abstractive summarization task on 3 different Italian datasets:
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- [FanPage](https://huggingface.co/datasets/ARTeLab/fanpage) - finetuned model [here](https://huggingface.co/
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- [IlPost](https://huggingface.co/datasets/ARTeLab/ilpost) - finetuned model [here](https://huggingface.co/
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- [WITS](https://huggingface.co/datasets/Silvia/WITS) - finetuned model [here](https://huggingface.co/
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## Usage
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The model has been fine-tuned for the abstractive summarization task on 3 different Italian datasets:
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- [FanPage](https://huggingface.co/datasets/ARTeLab/fanpage) - finetuned model [here](https://huggingface.co/morenolq/bart-it-fanpage)
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- [IlPost](https://huggingface.co/datasets/ARTeLab/ilpost) - finetuned model [here](https://huggingface.co/morenolq/bart-it-ilpost)
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- [WITS](https://huggingface.co/datasets/Silvia/WITS) - finetuned model [here](https://huggingface.co/morenolq/bart-it-WITS)
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## Usage
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