Gemma 2 9B Daily Journal Coach

Published by @reflective_ai · Community adapter

Generates personalised daily journal prompts, weekly reflection questions, and gratitude practices based on user context. Draws on positive psychology and narrative therapy frameworks.

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-daily-journal-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