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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