Generate Data from LLM using LLMKit
Reason this release was yanked:
Bug fix for examples
LLMKit - Language Model Kit
LLMKit is a Python package that simplifies the interaction with Language Models (LLMs) and allows you to generate text data with ease.
Simple Interface: LLMKit provides a straightforward interface to interact with various language models.
Custom Transformers: You can create custom transformers to format input data into prompts and transform LLM-generated text into the desired data format.
Model Abstraction: LLMKit abstracts the details of model selection and provider handling.
You can install LLMKit using pip:
pip install llmkit
from llmkit import LLMKit
llm_kit = LLMKit()
input_data = "Translate the following English text to French: 'Hello, World!'"
# Generate text using the default transformers
generated_text = llm_kit.generate_data(input_data)
print("Generated Text:", generated_text)
For more advanced usage and customization, you can create your own transformers and specify model providers. Only two model providers are supported for now: "openai" and "cloudflare". You need to provide a .env file with either
OPENAI_API_KEY for OpenAI or
CF_ACCOUNT_ID for Cloudflare.
See sample custom transformer for how to write a custom transformer.
Comprehensive documentation will be made available soon.
We welcome contributions! Our contributions guideline will be added soon.
LLMKit is distributed under the MIT License. See LICENCE for details.
If you have any questions or suggestions, feel free to reach out to us at firstname.lastname@example.org.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Hashes for llm_stack_kit-0.1.0-py3-none-any.whl