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Create README.md
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README.md
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---
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license: other
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---
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## Model Overview
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It is a TT-compressed model of pretrained bart-base XSUM model.
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Model was TTM-compressed with additional finetuning up to 62% (64 mln params) of original size.
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- eval_loss = 2.5863
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- eval_rouge1 = 34.5695
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- eval_rouge2 = 12.6411
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- eval_rougeL = 27.3062
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- eval_rougeLsum = 27.2974
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## How to use
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```python
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tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base")
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model = AutoModelForSequenceClassification.from_pretrained("s-nlp/bart-base-xsum-ttd", trust_remote_code=True)
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```
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