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contrastors

nomic-ai/contrastors

Train Models Contrastively in Pytorch

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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804 stars65 forksLast push Mar 26, 2025 Python Apache-2.0

Decision brief

Contrastors is a Python library that leverages PyTorch for training contrastive learning models, ideal for tasks requiring dense retrieval or embeddings creation from text and images.

Good fit when

* Use Contrastors when you are working with multimodal data (text and image) and require generating effective embeddings for them.
* Prefer Contrastors if your project is under the Apache-2.0 license, allowing for broader compliance and flexibility.

Avoid when

* Do not use Contrastors if your preferred framework is TensorFlow or another non-PyTorch-based deep learning solution.
* Avoid Contrastors if you are working with data modalities that are not text or image, as its strengths are in these domains.

Observed Jul 12, 2026 · Source: enrich:decision_facts

contrastors alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (542d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install contrastors

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python library for training contrastive learning models using PyTorch.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

by running `nvcc --version` or if you already have torch installed you can run `python -c "import torch; print(torch.version.cuda)"`

Source link

README

Getting Started and Requirements The library relies on custom kernels from the Flash Attention repository. To setup your enviornment you will need to follow the steps below. Make sure that you have Cuda 11.8+. You can check this by running or if you already have torch installed y...

For agents

This page has a .md twin and JSON over the API.

/tools/nomic-ai-contrastors.md GET /api/graphcanon/tools/nomic-ai-contrastors GET /api/graphcanon/graph?tool=nomic-ai-contrastors