Skip to main content

Infero

PyPI - Python Version PyPI - Version PyPI - Downloads CI

Overview

https://github.com/user-attachments/assets/4062501c-8420-4750-94bc-6a8f82a69989

Infero allows you to easily download, convert, and host your models using the ONNX runtime. It provides a simple CLI to run and maintain the models.

Features

  • Automatic downloads.
  • Automatic ONNX conversions.
  • Automatic server setup.
  • 8-bit quantization support.

Installation

To install Infero, run the following command:

pip install infero

Usage

Here is a simple example of how to use Infero:

infero pull [hf_model_name]

To run a model:

infero run [hf_model_name]

With 8-bit quantization:

infero run [hf_model_name] --quantize

To list all available models:

infero list

To remove a model:

infero remove [hf_model_name]

Infero is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or feedback, please contact us at support@norsulabs.com.

Metadata

Release files for infero 0.0.16

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for infero 0.0.16
File Size Uploaded Provenance Actions
infero-0.0.16.tar.gz 6.6 kB With provenance Details for infero-0.0.16.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for infero 0.0.16
File Interpreter ABI Platform Actions
infero-0.0.16-py3-none-any.whl Python 3 none any Details for infero-0.0.16-py3-none-any.whl

Total release size: 15.3 kB

Release files / infero-0.0.16.tar.gz

Download URL infero-0.0.16.tar.gz
Size 6.6 kB
Tags Source
SHA-256 checksum
How to use checksums
ef6e7b974c41e8c4c3f5ee919303ea0b5dd8a17727099420653f805bf90c2234
BLAKE2b-256 checksum
How to use checksums
f5d05ac13d4a28b5c9dbac1369bfe28d694adee0eeb9233e33bd0635cd8f9bef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

Transparency log

Release files / infero-0.0.16-py3-none-any.whl

Download URL infero-0.0.16-py3-none-any.whl
Size 8.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
31ae2863995f701fb2c18699cb52212575d7b88a989de05c5a2e5624a830c85a
BLAKE2b-256 checksum
How to use checksums
4c007e7151c538b7ecb9ea7f99207d9171e7188b85c305a67d70b2a638fc26e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

Transparency log

Security for infero 0.0.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for infero-0.0.16.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page