https://github.com/fardinhash/multilabel-classification-llm
Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.
https://github.com/fardinhash/multilabel-classification-llm
bert-classification classification gpt-4 large-language-models llm mistral-7b multi-class-classification multi-label-classification multiclass-classification multilabel-classification t5 text-classification
Last synced: 7 months ago
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Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.
- Host: GitHub
- URL: https://github.com/fardinhash/multilabel-classification-llm
- Owner: FardinHash
- License: apache-2.0
- Created: 2024-05-12T15:07:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-12T15:55:04.000Z (over 1 year ago)
- Last Synced: 2025-01-14T12:28:38.064Z (9 months ago)
- Topics: bert-classification, classification, gpt-4, large-language-models, llm, mistral-7b, multi-class-classification, multi-label-classification, multiclass-classification, multilabel-classification, t5, text-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 9.31 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
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README
# multilabel-classification-llm
Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.