YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Mistral 7B Insurance Rule Model
Complete Mistral 7B model with integrated insurance rule adapter for prescription approval.
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load the model
model = AutoModelForCausalLM.from_pretrained("your-username/mistral-insurance-model")
tokenizer = AutoTokenizer.from_pretrained("your-username/mistral-insurance-model")
# Or use the included inference script
from inference import MistralInsuranceModel
model = MistralInsuranceModel("./")
# Process prescription
result = model.process_prescription("Your prescription text...")
print(result) # "APPROVE" or "DENY - reason"
Model Details
- Base: Mistral 7B Instruct
- Integrated: Insurance rule adapter
- Output: Simple APPROVE/DENY responses
- Requirements: GPU with 16GB+ VRAM
- Downloads last month
- 4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 馃檵 Ask for provider support