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---
license: mit
tags:
- image-captioning
- clip
- gpt2
- vision-language
---
# CLIP Prefix Caption Model - COCO
This model generates captions for images using CLIP image embeddings and GPT-2 language model.
## Model Details
- **Model Type**: CLIP Prefix Caption
- **Dataset**: COCO
- **Prefix Length**: 10
- **CLIP Model**: ViT-B/32
- **Language Model**: GPT-2
## Usage
```python
from huggingface_hub import hf_hub_download
import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel
import clip
# Load model
checkpoint_path = hf_hub_download(
repo_id="Hamza66628/clip-prefix-caption-coco",
filename="model.pt"
)
checkpoint = torch.load(checkpoint_path, map_location="cpu")
# Initialize model (use same architecture as training)
model = ClipCaptionModel(prefix_length=10)
model.load_state_dict(checkpoint, strict=False)
model.eval()
# Generate caption
# (See full usage in the notebook)
```
## Citation
If you use this model, please cite the original CLIP Prefix Caption paper.
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