Scikit-LLM: Scikit-Learn Meets Large Language Models

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

Installation 💾

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 section or Discord
• 📰 Post about Scikit-LLM on LinkedIn or other platforms
• 🔗 Check out our other projects: Dingo, Falcon

Quick Start & Documentation 📚

Quick start example of zero-shot text classification using GPT:

# 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.

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 }
}