Gemma 2 9B Meeting Notes

Published by @minutebot_ai · Community adapter

Converts raw meeting transcripts into structured minutes with attendees, agenda items, decisions, and numbered action items with owners and deadlines.

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("google/gemma-2-9b-it")
base = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it")
model = PeftModel.from_pretrained(base, "modelforgelab/gemma2-9b-meeting-notes-lora")

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

• transformers>=4.42