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inference.py
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inference.py
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import requests
from PIL import Image
from transformers import AutoProcessor, AutoModelForCausalLM
model_id = "yifeihu/TF-ID-large" # recommended: use large models for better performance
# model_id = "yifeihu/TF-ID-base"
# model_id = "yifeihu/TF-ID-large-no-caption" # recommended: use large models for better performance
# model_id = "yifeihu/TF-ID-base-no-caption"
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
prompt = "<OD>"
# TF-ID models were trained on digital pdf papers
image_url = "./sample_images/arxiv_2305_10853_5.png"
image = Image.open(requests.get(image_url, stream=True).raw)
inputs = processor(text=prompt, images=image, return_tensors="pt")
generated_ids = model.generate(
input_ids=inputs["input_ids"],
pixel_values=inputs["pixel_values"],
max_new_tokens=1024,
do_sample=False,
num_beams=3
)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0]
parsed_answer = processor.post_process_generation(generated_text, task="<OD>", image_size=(image.width, image.height))
print(parsed_answer)