Soccer Qa 4b

--- language: en license: cc-by-nc-4.0 tags: - soccer - video-qa - question-answering - vision-language - multimodal - sports-analysis library_name: transformers pipeline_tag: video-text-to-text --- # Soccer QA 4B - Soccer Video Question Answering Model **⚠️ RESEARCH USE ONLY - NON-COMMERCIAL LICENSE** Soccer QA 4B is a unified video question-answering model specifically designed for soccer video understanding. ## Model Description This model can answer questions about soccer videos by analyzing visual content and generating natural language responses. **Example:** - **Input**: Video + "What unfolded during the game in the video?" - **Output**: "During the game, there was a foul committed by a player from the yellow-jerseyed team, leading to a yellow card being issued..." ## Architecture - **Vision Encoder**: DWT-VJEPA2-based video encoder (vit_giant, 1408 dim) - **Text Model**: LLaMA 3.2-3B with LoRA fine-tuning - **Vision-Text Bridge**: Learned projection layer (1408 → 2048 → 3072) - **Specialization**: Fine-tuned on soccer video QA data ## Usage (Helper functions are in repo) ```python from soccer_qa_inference import SoccerQA model = SoccerQA("/path/to/model") answer = model.ask("video.mp4", "Was this a Foul?", max_tokens=45) print(answer) ``` ## Model Details - **Parameters**: ~4B total - **Input**: Video files (16 frames, 256x256) + text questions - **Output**: Natural language answers - **Domain**: Soccer/football video analysis - **Context**: Handles complex game situations, player actions, fouls, etc. ## Training Data - Soccer video clips with question-answer pairs - Covers various game situations: fouls, shots, saves, player actions - Annotated with detailed descriptions of game events ## Limitations - Research use only, no commercial applications - Optimized specifically for soccer content - May not generalize well to other sports or video domains - Requires high-quality video input for best results ## License CC-BY-NC-4.0 - Research use only, no commercial applications permitted. ## Citation ```bibtex @misc{soccer-qa-4b-2025, title={Soccer QA 4B: Video Question Answering for Soccer Analysis}, author={Varun Kodathala, Sports Vision}, year={2025}, note={Research model for soccer video understanding} } ```

Source context: 17 downloads · 3 likes · Pipeline video-text-to-text · Library transformers · Repo sportsvision/soccer-qa-4b

Source context: 12 downloads · 3 likes · Pipeline video-text-to-text · Library transformers · Repo sportsvision/soccer-qa-4b