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@@ -8,4 +8,24 @@ metrics:
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  base_model:
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  - google/flan-t5-base
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  pipeline_tag: summarization
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model:
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  - google/flan-t5-base
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  pipeline_tag: summarization
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+ ---
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+ # Model Card for Model ID
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+ ## Flan T5 base model finetuned on the CNNDailyMail dataset .
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+ ### This is a part of my undergrad project 1 , the full version of the project can be found on https://huggingface.co/QuantumQuest where me and my friends have worked on a categorizer and UI as well.
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by: Thadoe Hein**
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+ - **Funded by Thadoe :** [I wish my school funded me, but they did not. ]
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+ - **Model type:** [Flan T5]
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+ - **Language(s) (NLP):** [Python, NLP ]
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+ - **License:** [Feel free to use]
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+ - **Finetuned from model [FLAN T5?]:** [More Information Needed]
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+ ## Bias, Risks, and Limitations
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+ The model generate very short summary sentences. Approximately 3 original sentences will be summarized into one single concise sentence.
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+ ## How to Get Started with the Model
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+ please go to this link for example code. https://huggingface.co/QuantumQuest