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Update README.md
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README.md
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@@ -52,40 +52,40 @@ LABEL_1 - Action Item
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## Usage
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# Example 1
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```python
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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-
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'''
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summarizer(text)
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```
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# Example 2
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```python
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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-
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'''
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summarizer(text)
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```
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# Example 3
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```python
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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-
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'''
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summarizer(text)
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```
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# Example 4
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```python
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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-
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'''
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summarizer(text)
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```
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## Usage
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# Example 1
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```python (Action Item)
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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And so the customer portion will have the dependency of , you know , fifty five probably has to be on XGEVA before we can start that track , but we can at least start the enablement track for sales and CSM who are as important as customers because they're the top of our funnel , especially sales.
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'''
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summarizer(text)
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```
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# Example 2
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```python (Not an Action Item)
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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So that's going to come handy for their consumers to plan their migration and follow
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'''
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summarizer(text)
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```
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# Example 3
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```python (Not an Action Item)
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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Because what happens is , let's say you say 5th of January and our priority changes for whatever reason or there is a conflict or there is a bigger issue that we have to pull the engineering teams of , then that generally cannot be megabuck.
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'''
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summarizer(text)
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```
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# Example 4
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```python (Action Item)
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from transformers import pipeline
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summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
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text = '''
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But I think right now we need to get people excited about the highlights part and start meetings vision and not sober over rotated on transcription.
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'''
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summarizer(text)
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```
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