Instructions to use d4nieldev/gemma-3-4b-it-qpl-decomposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use d4nieldev/gemma-3-4b-it-qpl-decomposer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "d4nieldev/gemma-3-4b-it-qpl-decomposer") - Notebooks
- Google Colab
- Kaggle
To load the model and tokenizer:
from transformers import AutoTokenizer
from peft import AutoPeftModelForCausalLM
add_special_tokens = False
# Load model & tokenizer
model_path = "d4nieldev/gemma-3-4b-it-qpl-decomposer"
model = AutoPeftModelForCausalLM.from_pretrained(model_path).cuda()
model = model.eval()
tokenizer = AutoTokenizer.from_pretrained(model_path)
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