Summarization

Model description

​ BartForConditionalGeneration model fine tuned for summarization on 10000 samples from the cnn-dailymail dataset ​

How to use

​ PyTorch model available ​

from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
​
tokenizer = AutoTokenizer.from_pretrained("yuvraj/summarizer-cnndm") 
AutoModelWithLMHead.from_pretrained("yuvraj/summarizer-cnndm")
​
summarizer = pipeline('summarization', model=model, tokenizer=tokenizer)
summarizer("<Text to be summarized>")
​
## Limitations and bias
Trained on a small dataset
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Summarization
Examples
Examples
This model can be loaded on the Inference API on-demand.