LMSYS Preference Model
Collection
Predict human preference to LLM responses. • 4 items • Updated
How to use billxbf/wsdm-qwen14b_dare_dslerp-gptq-q4 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="billxbf/wsdm-qwen14b_dare_dslerp-gptq-q4") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("billxbf/wsdm-qwen14b_dare_dslerp-gptq-q4")
model = AutoModelForSequenceClassification.from_pretrained("billxbf/wsdm-qwen14b_dare_dslerp-gptq-q4", device_map="auto")