How to use iam4lp/llm-winner-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iam4lp/llm-winner-classifier")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iam4lp/llm-winner-classifier") model = AutoModelForSequenceClassification.from_pretrained("iam4lp/llm-winner-classifier", device_map="auto")
This model is fine-tuned to classify which LLM response is better given a prompt and two responses.
PROMPT + RESPONSE A + RESPONSE B
distilroberta-base
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