Update README.md

README.md

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----
-license: apache-2.0
-inference: false
-datasets:
-  - Lin-Chen/ShareGPT4V
-  - ShareGPT4Video/ShareGPT4Video
-pipeline_tag: visual-question-answering
----
-<br>
-<br>
-
-# sharegpt4video-8b Model Card
-
-## Model details
-
-**Model type:**
-sharegpt4video-8b is an open-source video chatbot trained by fine-tuning the entire model on open-source [video instruction data](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video). The training process takes around 1 hour on 32xA100 GPUs.
-
-**Model date:**
-sharegpt4video-8b was trained in May 2024.
-
-**Paper or resources for more information:**
-[[Code](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video)] [[Project Page](https://sharegpt4video.github.io/)]
-
-## Usage
-
-You can utilize this model as we provide in our [[repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video)].
-
-## Training dataset
-
-All training data are open-sourced in our [repository](https://github.com/InternLM/InternLM-XComposer/tree/main/projects/ShareGPT4Video).
-
-- 153K collection of various video instruction data
-- 28K high-quality video caption data from [[ShareGPT4Video](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video)]
-
-## Intended use
-
-**Primary intended uses:**
-The primary use of sharegpt4video-8b is research on large video-language models and video chatbots.
-
-**Primary intended users:**
-The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
+---
+license: apache-2.0
+inference: false
+datasets:
+  - Lin-Chen/ShareGPT4V
+  - ShareGPT4Video/ShareGPT4Video
+pipeline_tag: visual-question-answering
+---
+<br>
+<br>
+
+# sharegpt4video-8b Model Card
+
+## Model details
+
+**Model type:**
+sharegpt4video-8b is an open-source video chatbot trained by fine-tuning the entire model on open-source [video instruction data](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video). The training process takes around 1 hour on 32xA100 GPUs.
+
+**Model date:**
+sharegpt4video-8b was trained in May 2024.
+
+**Paper or resources for more information:**
+[[Code](https://github.com/ShareGPT4Omni/ShareGPT4Video)] [[Project Page](https://sharegpt4video.github.io/)]
+
+## Usage
+
+You can utilize this model as we provide in our [[repository](https://github.com/ShareGPT4Omni/ShareGPT4Video)].
+
+## Training dataset
+
+All training data are open-sourced, you can find the usage in our [repository](https://github.com/ShareGPT4Omni/ShareGPT4Video).
+
+- 153K collection of various video instruction data
+- 28K high-quality video caption data from [[ShareGPT4Video](https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video)]
+
+## Intended use
+
+**Primary intended uses:**
+The primary use of sharegpt4video-8b is research on large video-language models and video chatbots.
+
+**Primary intended users:**
+The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.