How to use vllm-sr/mmbert32k-feedback-detector-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("vllm-sr/mmbert-32k-yarn") model = PeftModel.from_pretrained(base_model, "vllm-sr/mmbert32k-feedback-detector-lora")
How to use vllm-sr/mmbert32k-feedback-detector-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vllm-sr/mmbert32k-feedback-detector-lora")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vllm-sr/mmbert32k-feedback-detector-lora", device_map="auto")
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