How to use harman/gemma2-9b_ultrafeedback-CARMA_qrandomized_neutrals_our_improve_degrade_data_all_pairpm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="harman/gemma2-9b_ultrafeedback-CARMA_qrandomized_neutrals_our_improve_degrade_data_all_pairpm")
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("harman/gemma2-9b_ultrafeedback-CARMA_qrandomized_neutrals_our_improve_degrade_data_all_pairpm") model = AutoModelForMultimodalLM.from_pretrained("harman/gemma2-9b_ultrafeedback-CARMA_qrandomized_neutrals_our_improve_degrade_data_all_pairpm")
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