README.md

---
library_name: transformers
license: apache-2.0
tags:
- vision
- image-captioning
- blip
- multimodal
- fashion
datasets:
- Marqo/fashion200k
base_model:
- Salesforce/blip-image-captioning-large
---

# Fine-Tuned BLIP Model for Fashion Image Captioning

This is a fine-tuned BLIP (Bootstrapped Language-Image Pretraining) model specifically designed for **fashion image captioning**. It was fine-tuned on the **Marqo Fashion Dataset** to generate descriptive and contextually relevant captions for fashion-related images.

## Model Details

- **Model Type:** BLIP (Vision-Language Pretraining)
- **Architecture:** BLIP uses a multimodal transformer architecture to jointly model visual and textual information.
- **Fine-Tuning Dataset:** [Marqo Fashion Dataset](https://github.com/marqo-ai/marqo) (a dataset containing fashion images and corresponding captions)
- **Task:** Fashion Image Captioning
- **License:** Apache 2.0

## Usage

You can use this model with the Hugging Face `transformers` library for fashion image captioning tasks.

### Installation

First, install the required libraries:

```bash
pip install transformers torch