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LM-Kit.Sentiment_Analysis-TinyLlama-1.1B-1T-OpenOrca-en-q4-gguf
lm-kit/LM-Kit.Sentiment_Analysis-TinyLlama-1.1B-1T-OpenOrca-en-q4-gguf
LM-Kit.Sentiment_Analysis-TinyLlama-1.1B-1T-OpenOrca-en-q4-gguf is a machine learning model from lm-kit. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This model is optimized for sentiment analysis tasks within the LM-Kit.NET framework. It is designed to deliver high accuracy and performance for English text, particularly suited for CPU-based inference.
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At a glance
- License
- other
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Sep 25, 2024
- SHA
- 47759b36
Model card
From the Hugging Face model README
LM-Kit Sentiment Analysis Model
This model is optimized for sentiment analysis tasks within the LM-Kit.NET framework. It is designed to deliver high accuracy and performance for English text, particularly suited for CPU-based inference.
Key Features:
- Language: Trained exclusively on English-language datasets.
- Emotion Support: Focuses on binary sentiment (positive/negative); neutral sentiment classification is not supported.
- Performance: Tuned for exceptional inference speed on CPU environments, making it ideal for real-time applications.
- License
- other
- Created
- Jul 3, 2024
- Updated
- Sep 25, 2024