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Seamlessly integrate LLMs into scikit-learn.
| Date | Stars |
|---|---|
| 2026-07-31 | 3530 |
| 2026-08-03 | 3530 |
| 2026-08-06 | 3530 |
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<div align="center">
<img alt="logo" src="https://gist.githubusercontent.com/OKUA1/55e2fb9dd55673ec05281e0247de6202/raw/41063fcd620d9091662fc6473f9331a7651b4465/scikit-llm.svg" height = "250">
</div>
# Scikit-LLM: Scikit-Learn Meets Large Language Models
Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
## Installation 💾
```bash
pip install scikit-llm
```
## Support us 🤝
You can support the project in the following ways:
- ⭐ Star Scikit-LLM on GitHub (click the star button in the top right corner)
- 💡 Provide your feedback or propose ideas in the [issues](https://github.com/iryna-kondr/scikit-llm/issues) section or [Discord](https://discord.gg/YDAbwuWK7V)
- 📰 Post about Scikit-LLM on LinkedIn or other platforms
- 🔗 Check out our other projects: <a href="https://github.com/beastbyteai/agent_dingo">Dingo</a>, <a href="https://github.com/beastbyteai/agent_dingo">Falcon</a>
<br>
<a href="https://github.com/OKUA1/agent_dingo">
<picture>
<source media="(prefers-color-scheme: light)" srcset="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/dingo_h_dark.svg" >
<source media="(prefers-color-scheme: dark)" srcset="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/ding_h_light.svg">
<img alt="Logo" src="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/dingo_h_dark.svg" height = "65">
</picture>
</a> <br><br>
<a href="https://github.com/OKUA1/falcon">
<picture>
<source media="(prefers-color-scheme: light)" srcset="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/falcon_h_dark.svg" >
<source media="(prefers-color-scheme: dark)" srcset="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/falcon_h_light.svg">
<img alt="Logo" src="https://gist.githubusercontent.com/OKUA1/ce2167df8e441ce34a9fbc8578b86543/raw/f740c391ec37eaf2f80d5b46f1fa2a989dd45932/dingo_h_dark.svg" height = "65">
</picture>
</a>
## Quick Start & Documentation 📚
Quick start example of zero-shot text classification using GPT:
```python
# Import the necessary modules
from skllm.datasets import get_classification_dataset
from skllm.config import SKLLMConfig
from skllm.models.gpt.classification.zero_shot import ZeroShotGPTClassifier
# Configure the credentials
SKLLMConfig.set_openai_key("<YOUR_KEY>")
SKLLMConfig.set_openai_org("<YOUR_ORGANIZATION_ID>")
# Load a demo dataset
X, y = get_classification_dataset() # labels: positive, negative, neutral
# Initialize the model and make the predictions
clf = ZeroShotGPTClassifier(model="gpt-4")
clf.fit(X,y)
clf.predict(X)
```
For more information please refer to the **[documentation](https://skllm.beastbyte.ai)**.
## Citation
You can cite Scikit-LLM using the following BibTeX:
```
@software{ScikitLLM,
author = {Iryna Kondrashchenko and Oleh Kostromin},
year = {2023},
publisher = {beastbyte.ai},
address = {Linz, Austria},
title = {Scikit-LLM: Scikit-Learn Meets Large Language Models},
url = {https://github.com/iryna-kondr/scikit-llm }
}
```
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fba62de81ddb7616, topic:deep-learning
matched fp:fba62de81ddb7616, topic:llm
matched fp:fba62de81ddb7616, topic:chatgpt