Infero
Overview
TextForge automates model distillation, training, quantization, and deployment for text classification. It simplifies synthetic data generation, model optimization using ONNX runtime, and FastAPI serving.
Features
- Automated synthetic data generation
- Transformer model training
- ONNX conversion with 8-bit quantization
- Automated model API serving with FastAPI
Installation
pip install textforge
Usage
import pandas as pd
from textforge.pipeline import Pipeline, PipelineConfig
pipeline_config = PipelineConfig(
api_key=api_key,
labels=['business','education','entertainment','sports','technology'],
query="Classify based on headlines",
save_steps=200,
eval_steps=200,
epochs=10
)
df = pd.read_csv('data.csv')
pipeline = Pipeline(pipeline_config)
pipeline.run(data=df, save=True, serve=True)
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for textforge 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| textforge-0.1.2.tar.gz | 14.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| textforge-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.3 kB
Release files / textforge-0.1.2.tar.gz
| Download URL | textforge-0.1.2.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Transparency logRelease files / textforge-0.1.2-py3-none-any.whl
| Download URL | textforge-0.1.2-py3-none-any.whl |
|---|---|
| Size | 17.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 4, 2025.
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