|
--- |
|
language: |
|
- ja |
|
license: |
|
- cc-by-nc-4.0 |
|
tags: |
|
- heron |
|
- vision |
|
- image-captioning |
|
- VQA |
|
pipeline_tag: image-to-text |
|
inference: false |
|
--- |
|
# Heron GIT Japanese StableLM Base 7B |
|
|
|
|
|
## Model Details |
|
Heron GIT Japanese StableLM Base 7B is a vision-language model that can converse about input images.<br> |
|
This model was trained using [the heron library](https://github.com/turingmotors/heron). Please refer to the code for details. |
|
|
|
|
|
## Usage |
|
|
|
Follow [the installation guide](https://github.com/turingmotors/heron/). |
|
|
|
```python |
|
import torch |
|
from heron.models.git_llm.git_japanese_stablelm_alpha import GitJapaneseStableLMAlphaForCausalLM |
|
from transformers import AutoProcessor, LlamaTokenizer |
|
|
|
device_id = 0 |
|
device = f"cuda:{device_id}" |
|
|
|
MODEL_NAME = "turing-motors/heron-chat-git-ja-stablelm-base-7b-v1" |
|
|
|
model = GitJapaneseStableLMAlphaForCausalLM.from_pretrained( |
|
MODEL_NAME, torch_dtype=torch.float16, ignore_mismatched_sizes=True |
|
) |
|
model.eval() |
|
model.to(device) |
|
|
|
# prepare a processor |
|
processor = AutoProcessor.from_pretrained(MODEL_NAME) |
|
tokenizer = LlamaTokenizer.from_pretrained( |
|
"novelai/nerdstash-tokenizer-v1", |
|
padding_side="right", |
|
additional_special_tokens=["▁▁"], |
|
) |
|
processor.tokenizer = tokenizer |
|
|
|
|
|
import requests |
|
from PIL import Image |
|
|
|
# prepare inputs |
|
url = "https://www.barnorama.com/wp-content/uploads/2016/12/03-Confusing-Pictures.jpg" |
|
image = Image.open(requests.get(url, stream=True).raw) |
|
|
|
text = f"##human: この画像の面白い点は何ですか?\n##gpt: " |
|
|
|
# do preprocessing |
|
inputs = processor( |
|
text=text, |
|
images=image, |
|
return_tensors="pt", |
|
truncation=True, |
|
) |
|
|
|
inputs = {k: v.to(device) for k, v in inputs.items()} |
|
|
|
# do inference |
|
with torch.no_grad(): |
|
out = model.generate(**inputs, max_length=256, do_sample=False, temperature=0., no_repeat_ngram_size=2) |
|
|
|
# print result |
|
print(processor.tokenizer.batch_decode(out)) |
|
``` |
|
|
|
|
|
## Model Details |
|
* **Developed by**: [Turing Inc.](https://www.turing-motors.com/) |
|
* **Adaptor type**: [GIT](https://arxiv.org/abs/2205.14100) |
|
* **Lamguage Model**: [Japanese StableLM Base Alpha](https://huggingface.co/stabilityai/japanese-stablelm-base-alpha-7b) |
|
* **Language(s)**: Japanese |
|
|
|
### Training |
|
|
|
1. The GIT adaptor was trained with LLaVA-Pratrain-JA. |
|
2. The LLM and the adapter were fully fine-tuned with LLaVA-Instruct-620K-JA-v2. |
|
|
|
### Training Dataset |
|
|
|
1. LLaVA-Pratrain-JA |
|
2. LLaVA-Instruct-620K-JA-v2 |
|
|
|
|
|
## Use and Limitations |
|
|
|
### Intended Use |
|
|
|
This model is intended for use in chat-like applications and for research purposes. |
|
|
|
### Limitations |
|
|
|
The model may produce inaccurate or false information, and its accuracy is not guaranteed. It is still in the research and development stage. |
|
|
|
## How to cite |
|
```bibtex |
|
@misc{inoue2024heronbench, |
|
title={Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese}, |
|
author={Yuichi Inoue and Kento Sasaki and Yuma Ochi and Kazuki Fujii and Kotaro Tanahashi and Yu Yamaguchi}, |
|
year={2024}, |
|
eprint={2404.07824}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CV} |
|
} |
|
``` |
|
|
|
--- |
|
license: cc-by-nc-4.0 |
|
--- |
