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MediCoder AI v5 - Complete Medical Coding Model

πŸ₯ Complete Anti-Collapse Medical Coding AI with 57,000+ Prototypes

🎯 Model Highlights

  • βœ… Complete Coverage: 57,856 medical code prototypes
  • βœ… Anti-Collapse Trained: 0% embedding collapse vs 41.2% baseline
  • βœ… Self-Contained: All prototypes included, no external data needed
  • βœ… Production Ready: SafeTensors format for PyTorch 2.6+ compatibility
  • βœ… Comprehensive: Processed 137 training files

πŸ“Š Complete Model Statistics

Metric Value
Total Prototypes 57,856
Files Processed 137
Examples Processed 112,319
Code Coverage Complete medical code set
Embedding Collapse 0% (vs 41.2% baseline)
Format SafeTensors (secure)

πŸš€ Quick Start

from huggingface_hub import hf_hub_download
from safetensors import safe_open
import torch

# Download complete model
model_file = hf_hub_download("sshan95/medicoder-ai-v5-model", "model.safetensors")

# Load all components
tensors = {}
with safe_open(model_file, framework="pt") as f:
    for key in f.keys():
        tensors[key] = f.get_tensor(key)

prototypes = tensors["prototypes"]
prototype_codes = tensors["prototype_codes"]

print(f"Loaded {len(prototype_codes):,} medical code prototypes!")

πŸ—οΈ Architecture

  • Base Model: BioClinicalBERT (medical text specialized)
  • Anti-Collapse Training: Prevents embedding degradation
  • Complete Coverage: All available medical codes included
  • SafeTensors Format: PyTorch 2.6+ compatible and secure

πŸ“ˆ Training Methodology

  • Complete Dataset Processing: All 137 training files used
  • Anti-Collapse Techniques: Diversity + orthogonality losses
  • Quality Prototypes: Average of 1.9 examples per code
  • Comprehensive Coverage: 57,856 unique medical codes

⚑ Usage

This model provides complete medical coding coverage with:

  • Real-time inference using prototype matching
  • High accuracy with anti-collapse training
  • Complete coverage of medical code space
  • Production deployment ready with SafeTensors

πŸ”’ Security & Compatibility

  • SafeTensors Format: Secure tensor loading
  • PyTorch 2.6+ Compatible: Latest security standards
  • No External Dependencies: Self-contained model
  • Trusted Source: BioClinicalBERT base from HuggingFace

πŸ₯ Complete Medical AI Solution | πŸ›‘οΈ Anti-Collapse Technology | πŸš€ 57K+ Prototypes Ready

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