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Mistral 7B Field Service Notes

Published by @service-bay · Community adapter

text-generation #field-service#notes#maintenance

Converts terse technician notes into structured work summaries, parts lists, and follow-up actions.

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
base = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
model = PeftModel.from_pretrained(base, "loradock/mistral7b-field-service-notes")

inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Compatibility

  • peft>=0.10
  • transformers>=4.40
  • vLLM

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