Hello, Huggingface community!
I am new to NLP and Deep Learning but know the basics. I have to create a model for Extractive Text Summarization for Wikipedia articles.
Is there a list for the recommended ones?
Also, how can those models be trained? By training, I guess it means fine-tuning as most models are pretrained. I have run most of the models individually, but am perplexed on how to further train or fine-tune them.
TLDR :- Is there some guide where I can know, how to improve my models, choose the type of summarization (Extractive/Abstractive)?