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--- |
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language: en |
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tags: |
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- bart |
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- seq2seq |
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- summarization |
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license: apache-2.0 |
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datasets: |
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- samsum |
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widget: |
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- text: | |
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Hannah: Hey, do you have Betty's number? |
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Amanda: Lemme check |
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Amanda: Sorry, can't find it. |
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Amanda: Ask Larry |
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Amanda: He called her last time we were at the park together |
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Hannah: I don't know him well |
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Amanda: Don't be shy, he's very nice |
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Hannah: If you say so.. |
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Hannah: I'd rather you texted him |
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Amanda: Just text him 🙂 |
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Hannah: Urgh.. Alright |
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Hannah: Bye |
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Amanda: Bye bye |
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model-index: |
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- name: bart-large-xsum-samsum |
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results: |
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- task: |
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name: Abstractive Text Summarization |
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type: abstractive-text-summarization |
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dataset: |
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name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization" |
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type: samsum |
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metrics: |
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- name: Validation ROGUE-1 |
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type: rogue-1 |
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value: 54.3921 |
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- name: Validation ROGUE-2 |
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type: rogue-2 |
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value: 29.8078 |
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- name: Validation ROGUE-L |
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type: rogue-l |
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value: 45.1543 |
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- name: Test ROGUE-1 |
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type: rogue-1 |
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value: 53.3059 |
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- name: Test ROGUE-2 |
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type: rogue-2 |
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value: 28.355 |
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- name: Test ROGUE-L |
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type: rogue-l |
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value: 44.0953 |
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--- |
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## `bart-large-xsum-samsum` |
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This model was obtained by fine-tuning `facebook/bart-large-xsum` on [Samsum](https://huggingface.co/datasets/samsum) dataset. |
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## Usage |
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```python |
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from transformers import pipeline |
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summarizer = pipeline("summarization", model="knkarthick/bart-large-xsum-samsum") |
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conversation = '''Hannah: Hey, do you have Betty's number? |
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Amanda: Lemme check |
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Amanda: Sorry, can't find it. |
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Amanda: Ask Larry |
|
Amanda: He called her last time we were at the park together |
|
Hannah: I don't know him well |
|
Amanda: Don't be shy, he's very nice |
|
Hannah: If you say so.. |
|
Hannah: I'd rather you texted him |
|
Amanda: Just text him 🙂 |
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Hannah: Urgh.. Alright |
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Hannah: Bye |
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Amanda: Bye bye |
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''' |
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summarizer(conversation) |
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``` |
