metadata
license: apache-2.0
import torch
import os
from transformers import AutoTokenizer, AutoModel
from icecream import ic
import time
class DocOwlInfer():
def __init__(self, ckpt_path):
self.tokenizer = AutoTokenizer.from_pretrained(ckpt_path, use_fast=False)
self.model = AutoModel.from_pretrained(ckpt_path, trust_remote_code=True, low_cpu_mem_usage=True, torch_dtype=torch.float16, device_map='auto')
self.model.init_processor(tokenizer=self.tokenizer, basic_image_size=504, crop_anchors='grid_12')
def inference(self, images, query):
messages = [{'role': 'USER', 'content': '<|image|>'*len(images)+query}]
answer = self.model.chat(messages=messages, images=images, tokenizer=self.tokenizer)
return answer
docowl = DocOwlInfer(ckpt_path='mPLUG/DocOwl2')
images = ['/nas-alinlp/anwenhu/tmp/paper.png']
query = "What is this paper about, provide detailed information."
answer = docowl.inference(images, query)
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