Delete original.py

original.py

@@ -1,24 +0,0 @@
-
-model_name_or_path = "/home/yerong2/models/internlm-xcomposer2d5-7b"
-
-import torch
-from transformers import AutoModel, AutoTokenizer
-
-
-model = AutoModel.from_pretrained(model_name_or_path, trust_remote_code=True).eval().cuda().half()
-
-
-from flash_attn import flash_attn_qkvpacked_func, flash_attn_func
-
-tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True)
-tokenizer = tokenizer
-model.tokenizer = tokenizer
-
-query = 'Image1 <ImageHere>; Image2 <ImageHere>; Image3 <ImageHere>; I want to buy a car from the three given cars, analyze their advantages and weaknesses one by one'
-image = ['./examples/cars1.jpg',
-        './examples/cars2.jpg',
-        './examples/cars3.jpg',]
-with torch.autocast(device_type='cuda', dtype=torch.bfloat16):
-    response, his = model.chat(tokenizer, query, image, do_sample=False, num_beams=3, use_meta=True)
-print(response)
-