MathyKit
MathyKit is a lightweight Python framework for building and using AI models, with a focus on Meta/Facebook models. It provides a simple and efficient way to use state-of-the-art AI models without the need for API keys or local model installations.
Features
- Easy-to-use interface for AI model integration
- Support for Meta/Facebook models
- Pure Python implementation
- No API keys required
- Lightweight and efficient
Installation
pip install mathykit
Quick Start
from mathkit import Model
from mathkit.models import MetaOPT
# Load a pre-trained model
model = MetaOPT.from_pretrained("meta-opt-1.3b")
# Generate text
output = model.generate("What is artificial intelligence?")
print(output)
Documentation
For detailed documentation and examples, visit our documentation page.
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for mathykit 0.1.4
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mathykit-0.1.4.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mathykit-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / mathykit-0.1.4.tar.gz
| Download URL | mathykit-0.1.4.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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Release files / mathykit-0.1.4-py3-none-any.whl
| Download URL | mathykit-0.1.4-py3-none-any.whl |
|---|---|
| Size | 8.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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