Transformers How to use vectorzhou/gemma-2-9b-it-preference_700K-Preference with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="vectorzhou/gemma-2-9b-it-preference_700K-Preference") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("vectorzhou/gemma-2-9b-it-preference_700K-Preference")
model = AutoModelForSequenceClassification.from_pretrained("vectorzhou/gemma-2-9b-it-preference_700K-Preference", device_map="auto") 
