How to use wath5/kgl_lmsys_pref_classif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wath5/kgl_lmsys_pref_classif")
# Load model directly from transformers import AutoTokenizer, Gemma2ForSequenceClassificationV1 tokenizer = AutoTokenizer.from_pretrained("wath5/kgl_lmsys_pref_classif") model = Gemma2ForSequenceClassificationV1.from_pretrained("wath5/kgl_lmsys_pref_classif")
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