|
--- |
|
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) |
|
|
|
|
|
‘’‘ |
|
|
