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")
# 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")
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