How to use RoseG/MiniMiP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RoseG/MiniMiP")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RoseG/MiniMiP") model = AutoModelForCausalLM.from_pretrained("RoseG/MiniMiP", device_map="auto")
license: apache-2.0 pipeline_tag: question-answering library_name: transformers base_model: - google/gemma-3-12b-pt
