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[!IMPORTANT] NOTE: This model is not meant to be used alone, you need to either finetune it with this notebook or use an existing adapter.
doubutsu is a family of smol VLMs meant to be finetuned for your own use-case.1import torch
2from transformers import AutoModelForCausalLM, AutoTokenizer
3from PIL import Image
4
5model_id = "qresearch/doubutsu-2b-pt-756"
6model = AutoModelForCausalLM.from_pretrained(
7 model_id,
8 trust_remote_code=True,
9 torch_dtype=torch.float16,
10).to("cuda")
11
12tokenizer = AutoTokenizer.from_pretrained(
13 model_id,
14 use_fast=True,
15)
16
17model.load_adapter("qresearch/doubutsu-2b-lora-756-docci")
18
19image = Image.open("IMAGE")
20
21print(
22 model.answer_question(
23 image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1
24 ),
25)[!TIP] these models require smaller temperatures. We recommend to use a temperature of 0.1-0.3.
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