Update README.md

README.md

@@ -17,6 +17,31 @@ pipeline_tag: visual-question-answering
 
 This dataset card aims to provide a comprehensive overview of the StreamingChat model. For details, see our [Project](https://yzy-bupt.github.io/SVBench/), [Paper](https://arxiv.org/abs/2502.10810), [Dataset](https://huggingface.co/datasets/yzy666/SVBench) and [GitHub repository](https://github.com/yzy-bupt/SVBench).
 
+## **Dataset Description**
+**StreamingChat** is a streaming video understanding model built upon [InternVideo2.5](https://huggingface.co/OpenGVLab/InternVideo2_5_Chat_8B). It utilizes Streaming video dialogue data, including temporal dialogue paths from the [SVBench](https://huggingface.co/datasets/yzy666/SVBench) training set. The model is fine-tuned using a static resolution strategy, enabling it to process several minutes of video at a rate of 1 FPS. Images are interleaved with language tokens, with each image comprising 16 tokens. This model aims to catalyze progress in streaming video understanding.
+
+## **Uses**
+
+Download the StreamingChat model from Hugging Face:
+
+```bash
+git clone https://huggingface.co/yzy666/StreamingChat_8B
+```
+
+Install Python dependencies:
+```bash
+conda create -n StreamingChat -y python=3.9.21
+conda activate StreamingChat
+conda install -y -c pytorch pytorch=2.5.1 torchvision=0.10.1
+pip install transformers=4.37.2 opencv-python=4.11.0.84 imageio=2.37.0 decord=0.6.0
+pip install flash-attn --no-build-isolation
+```
+Run the inference script directly：
+```bash
+python demo.py
+```
+
+
 ## **Citation**
 If you find our data useful, please consider citing our work!
 ```