VisionHOPE
VisionHOPE by PSRben, a image-classification model. Understand and compare features, benchmarks, and capabilities.
Comparison
| Feature | VisionHOPE | Interfaze |
|---|---|---|
| Input Modalities | image | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | unknown | 1M |
| Tool Calling | No | Tool calling supported + built in browser, code execution and web search |
Scaling
| Feature | VisionHOPE | Interfaze |
|---|---|---|
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |
View model card on Hugging Face
Official pretrained weights for VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
This repository contains the hierarchical VisionHOPE-T/S/B checkpoints for ImageNet-1K classification, COCO object detection and instance segmentation, and ADE20K semantic segmentation.
Pretrained weights
Download
Download an individual checkpoint with the Hugging Face CLI:
hf download PSRben/VisionHOPE visionhope_small.pth --local-dir weightsTo download all checkpoints:
hf download PSRben/VisionHOPE --include "visionhope_*.pth" --local-dir weightsSee the code repository for installation, model definitions, and training and evaluation commands.