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good-vibes
dejanseo/good-vibes
good-vibes is a text classification model from dejanseo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
Multi-label sentiment classification model developed by Dejan Marketing.
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35.9K
Public
Parameters
11.7M
47.5 MB on disk
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1
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Repo makeup
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.safetensors46.7 MB · 96%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- albert
- Access
- Public
- Created
- Jun 29, 2024
- Updated
- Aug 15, 2024
- SHA
- 1dde127a
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Model card
From the Hugging Face model README
Multi-label sentiment classification model developed by Dejan Marketing.
To see this model in action visit: Good Vibes Tool
The model is designed to be deployed in an automated pipeline capable of classifying text sentiment for thousands (or even millions) of text chunks or as a part of a scraping pipeline.
This is a demo model which may occassionally misclasify some texts. In a typical commercial project, a larger model is deployed for the task, and in special cases, a domain-specific model is developed for the client.
Engage Our Team
Interested in using this in an automated pipeline for bulk URL and text processing?
Please book an appointment to discuss your needs.
Base Model
albert/albert-base-v2
Labels
sentiment_labels = {
0: "Good Vibes",
1: "No Vibes",
2: "Bad Vibes"
}
Sources of Training Data
Synthetic. Mistral.
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- other
- Languages
- en
- Created
- Jun 29, 2024
- Updated
- Aug 15, 2024