Scikit-LLM: Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.
Project description
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 }
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scikit_llm-1.3.1.tar.gz
(33.0 kB
view details)
Built Distribution
File details
Details for the file scikit_llm-1.3.1.tar.gz
.
File metadata
- Download URL: scikit_llm-1.3.1.tar.gz
- Upload date:
- Size: 33.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e0c54446f0bede650df1dc2429a04b8aae02ece2457830fff06c2db805c0ab18 |
|
MD5 | 31c91218be35ee4d25dc8e0d63fc558b |
|
BLAKE2b-256 | 79fbbae923e603c7e1b9880c37bfe77b29f1cf9d84638cc97189fc4eeb0599ab |
File details
Details for the file scikit_llm-1.3.1-py3-none-any.whl
.
File metadata
- Download URL: scikit_llm-1.3.1-py3-none-any.whl
- Upload date:
- Size: 49.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8c21490076e788912ee0aaf7626d5ccc92f0d34c9f12ec8b0523649c90b77048 |
|
MD5 | a04fbedd6d695f4bd2b254ec436369ac |
|
BLAKE2b-256 | 4cb2717fb9d600f066220847c8c2bfbc9242bb79b0e5506a51642b1cedbae927 |