Add pipeline tag, library name, and links

README.md

@@ -1,6 +1,8 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen3-VL-4B-Instruct
+license: apache-2.0
+library_name: transformers
+pipeline_tag: video-text-to-text
 tags:
 - camera-movement
 - video-understanding
@@ -12,6 +14,11 @@ tags:
 
 Camera-movement SFT 微调模型，基于 `Qwen/Qwen3-VL-4B-Instruct`。
 
+This model is described in the paper [Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge Distillation](https://huggingface.co/papers/2608.10932).
+
+- Project page: https://ddz16.github.io/cammotion.github.io
+- Code: https://github.com/ddz16/CamDistill
+
 - Checkpoint: `checkpoint-1326`
 - 训练框架: [ms-swift](https://github.com/modelscope/ms-swift)
 
@@ -21,4 +28,4 @@ Camera-movement SFT 微调模型，基于 `Qwen/Qwen3-VL-4B-Instruct`。
 from transformers import AutoModelForCausalLM, AutoProcessor
 model = AutoModelForCausalLM.from_pretrained("ddz16/CamSFT-4B", torch_dtype="bfloat16", device_map="auto")
 processor = AutoProcessor.from_pretrained("ddz16/CamSFT-4B")
-```
+```