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  license: bigscience-openrail-m
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  pipeline_tag: text-classification
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  widget:
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- - example_title: "Example 1"
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- text: "The concert last night was an unforgettable experience filled with amazing performances."
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- - example_title: "Example 2"
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- text: "I found the book to be quite insightful and it provided a lot of valuable information."
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- - example_title: "Example 3"
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- text: "The weather today is pretty average, not too hot and not too cold."
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- - example_title: "Example 4"
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- text: "Although the service was slow, the food at the restaurant was quite enjoyable."
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- - example_title: "Example 5"
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- text: "The new software update has caused more problems than it fixed."
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- - example_title: "Example 6"
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- text: "The customer support team was unhelpful and I had a frustrating experience."
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- - example_title: "Example 7"
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- text: "I had a fantastic time exploring the city and discovering new places."
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- - example_title: "Example 8"
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- text: "The meeting was very productive and we accomplished all our goals."
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- - example_title: "Example 9"
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- text: "This is the worst purchase I've ever made and I regret buying it."
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- - example_title: "Example 10"
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- text: "I am extremely pleased with the results of the project and how smoothly everything went."
 
 
 
 
 
 
 
 
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  language:
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  - en
 
 
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  ---
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  Multi-label sentiment classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
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  license: bigscience-openrail-m
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  pipeline_tag: text-classification
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  widget:
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+ - example_title: Example 1
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+ text: >-
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+ The concert last night was an unforgettable experience filled with amazing
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+ performances.
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+ - example_title: Example 2
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+ text: >-
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+ I found the book to be quite insightful and it provided a lot of valuable
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+ information.
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+ - example_title: Example 3
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+ text: The weather today is pretty average, not too hot and not too cold.
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+ - example_title: Example 4
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+ text: >-
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+ Although the service was slow, the food at the restaurant was quite
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+ enjoyable.
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+ - example_title: Example 5
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+ text: The new software update has caused more problems than it fixed.
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+ - example_title: Example 6
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+ text: The customer support team was unhelpful and I had a frustrating experience.
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+ - example_title: Example 7
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+ text: I had a fantastic time exploring the city and discovering new places.
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+ - example_title: Example 8
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+ text: The meeting was very productive and we accomplished all our goals.
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+ - example_title: Example 9
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+ text: This is the worst purchase I've ever made and I regret buying it.
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+ - example_title: Example 10
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+ text: >-
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+ I am extremely pleased with the results of the project and how smoothly
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+ everything went.
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  language:
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  - en
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+ datasets:
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+ - dejanseo/sentiment
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  ---
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  Multi-label sentiment classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
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