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library_name: transformers
pipeline_tag: image-text-to-text
tags:
- qwen3-vl
- vision-language
- multimodal
- image-text-to-text
---
# Pager
This repository contains the model weights, tokenizer, processor, and configuration files for **Pager**, a vision-language model based on the Qwen3-VL architecture.
## Files
The repository includes:
- `config.json`
- `generation_config.json`
- `tokenizer.json`
- `tokenizer_config.json`
- `vocab.json`
- `merges.txt`
- `special_tokens_map.json`
- `added_tokens.json`
- `preprocessor_config.json`
- `video_preprocessor_config.json`
- `chat_template.jinja`
- `model.safetensors.index.json`
- `model-00001-of-00004.safetensors`
- `model-00002-of-00004.safetensors`
- `model-00003-of-00004.safetensors`
- `model-00004-of-00004.safetensors`
## Usage
Install dependencies:
```bash
pip install -U transformers accelerate safetensors pillow
```
Load the model:
```python
import torch
from transformers import AutoProcessor, AutoModelForImageTextToText
model_id = "OpenRaiser/Pager"
processor = AutoProcessor.from_pretrained(
model_id,
trust_remote_code=True
)
model = AutoModelForImageTextToText.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
trust_remote_code=True
)
print("Model loaded successfully.")
```
If your local `transformers` version does not support this model class, please upgrade `transformers` first.
## Notes
- The model weights are stored in four `.safetensors` shards.
- `model.safetensors.index.json` maps model parameters to the corresponding weight shards.
- This repository is intended for research and development use.
## Citation
If you use this model, please cite or link to this repository:
```text
https://huggingface.co/OpenRaiser/Pager
``` |