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aglazkova
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bart_multitask_finetuned_for_title_and_keyphrase_generation

Text2Text Generation
Transformers
PyTorch
English
bart
Inference Endpoints
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@@ -38,8 +38,8 @@ Inspired by <a href = "https://aclanthology.org/2020.findings-emnlp.428.pdf">(Ca
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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- tokenizer = AutoTokenizer.from_pretrained("beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation")
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- model = AutoModelForSeq2SeqLM.from_pretrained("beogradjanka/bart_multitask_finetuned_for_title_and_keyphrase_generation")
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  text = "In this paper, we investigate cross-domain limitations of keyphrase generation using the models for abstractive text summarization.\
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ tokenizer = AutoTokenizer.from_pretrained("aglazkova/bart_multitask_finetuned_for_title_and_keyphrase_generation")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("aglazkova/bart_multitask_finetuned_for_title_and_keyphrase_generation")
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  text = "In this paper, we investigate cross-domain limitations of keyphrase generation using the models for abstractive text summarization.\