How to use qwertyuiopasdfg/map_65label_v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Skywork-Reward-V2-Llama-3.1-8B-40M") model = PeftModel.from_pretrained(base_model, "qwertyuiopasdfg/map_65label_v3")
How to use qwertyuiopasdfg/map_65label_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qwertyuiopasdfg/map_65label_v3")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qwertyuiopasdfg/map_65label_v3") model = AutoModelForSequenceClassification.from_pretrained("qwertyuiopasdfg/map_65label_v3")
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