Structured Neuron-level Pruning and Upload Progress Bar

🚀 New Features

Structured Neuron-level Pruning (SNP)

• Added a new structured pruning method targeting neuron-level granularity.
• Allows more fine-tuned control over model size and latency during optimization.

Upload Progress Bar

• Introduced a progress bar display when uploading large models or datasets via the SDK.
• Helps users track upload status more clearly and improve user experience.

Model Name Standardization & Deprecation Notices

• Unified naming convention for preloaded model names.
• Added deprecation warnings to guide users toward supported configurations.

Environment Variable Configuration

• Refactored internal configuration to support HOST and PORT via environment variables.
• Simplifies deployment in containerized or cloud environments.

🐞 Bug Fixes

• Updated file-matching logic to support both *best.pt and *best_fx.pt patterns during model search.
• Fixed attribute reference from model.name to model_name to prevent runtime errors.

🧠 Why these matter

• The addition of Structured Neuron-level Pruning enables more granular and efficient model optimization, especially for edge deployment scenarios.
• Visual upload progress improves transparency and confidence during long upload operations.
• Unified naming and configuration approaches reduce user confusion and improve maintainability.
• Bug fixes ensure more reliable model handling and deployment flow.