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emotion-bot-1000
rrpetroff/emotion-bot-1000
emotion-bot-1000 is a text classification model from rrpetroff. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
- Purpose: Classifying emotions from text. - Model architecture: Distilbert - Training data: Text examples with labels of corresponding emotions ex: sad, happy, love, etc.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Jan 31, 2024
- Updated
- Jan 31, 2024
- SHA
- 079dc6b0
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Model card
From the Hugging Face model README
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->Model Description
- Purpose: Classifying emotions from text.
- Model architecture: Distilbert
- Training data: Text examples with labels of corresponding emotions ex: sad, happy, love, etc.
Intended Use
- Intended users: For classifying the sentiment of text from examples provided.
- Use cases: Retail, social media, etc.
Limitations
- Known limitations: N/A
Hardware
- Training Platform: Intel 4th Generation Xeon Processors on the Intel Developer Cloud
Software Optimizations
- Known Optimizations:
- Intel Extension for PyTorch
- Mixed Precision Training (FP32 and BF16)
- Advanced Matrix Extensions (in Xeon Processor)
Ethical Considerations
- Ethical concerns: Beware of potential erroneous results when applying to usecases that involve humans.
More Information
- [Include any additional information, links, or references.]
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Languages
- en
- Created
- Jan 31, 2024
- Updated
- Jan 31, 2024