---
base_model: "Qwen/Qwen2-VL-7B-Instruct"
library_name: peft
model_name: "AgriAssist"
tags:
  - vision-language
  - agriculture
  - crop-detection
  - pest-detection
  - weed-detection
  - fine-tuning
  - sft
  - lora
  - transformers
license: apache-2.0
pipeline_tag: text-generation
---

# AgriAssist: Domain-Specific Vision-Language Model for Indian Agriculture

AgriAssist is a fine-tuned vision-language model (VLM) built on **Qwen2-VL-7B-Instruct**, designed specifically for Indian agricultural applications. It is trained on curated datasets covering major **crops, weeds, pests, and diseases**, enabling robust recognition and basic reasoning over agricultural images.

## Features
- Domain-specific fine-tuning for Indian agriculture
- Recognition of crops, weeds, and pests
- Instruction-tuned for multimodal reasoning
- Trained on multiple public datasets: MH-Weed16, PlantVillage, AgroBench
- Ready for integration in applications requiring agricultural image understanding

## Usage

```python
from transformers import AutoProcessor, AutoModelForCausalLM

processor = AutoProcessor.from_pretrained("your-username/AgriAssist")
model = AutoModelForCausalLM.from_pretrained("your-username/AgriAssist")

# Example usage
inputs = processor(images=image_list, text="Identify the pest in the image", return_tensors="pt")
outputs = model.generate(**inputs)