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mbart-summarization-ilpost

Summarization
Transformers
PyTorch
Safetensors
Italian
mbart
text2text-generation
Inference Endpoints
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  # mbart_summarization_ilpost
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- This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on IlPost dataset for Abstractive Summarization..
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  It achieves the following results:
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  - Loss: 2.3640
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  - Gen Len: 39.8843
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  ## Usage
 
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  ```python
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  from transformers import MBartTokenizer, MBartForConditionalGeneration
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  tokenizer = MBartTokenizer.from_pretrained("ARTeLab/mbart-summarization-ilpost")
 
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  # mbart_summarization_ilpost
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+ This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on IlPost dataset for Abstractive Summarization.
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  It achieves the following results:
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  - Loss: 2.3640
 
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  - Gen Len: 39.8843
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  ## Usage
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  ```python
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  from transformers import MBartTokenizer, MBartForConditionalGeneration
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  tokenizer = MBartTokenizer.from_pretrained("ARTeLab/mbart-summarization-ilpost")