# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("kmeanskaran/gemma-code-instruct-finetune-test")
model = AutoModelForCausalLM.from_pretrained("kmeanskaran/gemma-code-instruct-finetune-test", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kmeanskaran/gemma-code-instruct-finetune-test")