Heron BLIP Japanese StableLM Base 7B v1
Model Details
Heron BLIP Japanese StableLM Base 7B is a vision-language model that can converse about input images.
This model was trained using the heron library. Please refer to the code for details.
Usage
Follow the installation guide.
import torch
from heron.models.video_blip import VideoBlipForConditionalGeneration, VideoBlipProcessor
from transformers import LlamaTokenizer
device_id = 0
device = f"cuda:{device_id}"
MODEL_NAME = "turing-motors/heron-chat-blip-ja-stablelm-base-7b-v1"
model = VideoBlipForConditionalGeneration.from_pretrained(
MODEL_NAME, torch_dtype=torch.float16, ignore_mismatched_sizes=True
)
model = model.half()
model.eval()
model.to(device)
# prepare a processor
processor = VideoBlipProcessor.from_pretrained("Salesforce/blip2-opt-2.7b")
tokenizer = LlamaTokenizer.from_pretrained("novelai/nerdstash-tokenizer-v1", 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()}
inputs["pixel_values"] = inputs["pixel_values"].to(device, torch.float16)
# set eos token
eos_token_id_list = [
processor.tokenizer.pad_token_id,
processor.tokenizer.eos_token_id,
int(tokenizer.convert_tokens_to_ids("##"))
]
# do inference
with torch.no_grad():
out = model.generate(**inputs, max_length=256, do_sample=False, temperature=0., eos_token_id=eos_token_id_list, no_repeat_ngram_size=2)
# print result
print(processor.tokenizer.batch_decode(out))
Model Details
- Developed by: Turing Inc.
- Adaptor type: BLIP2
- Lamguage Model: Japanese StableLM Base Alpha
- Language(s): Japanese
Training
This model was fully fine-tuned with LLaVA-Instruct-150K-JA.
Training Dataset
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
@misc{BlipJapaneseStableLM,
url = {[https://huggingface.co/turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0](https://huggingface.co/turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0)},
title = {Heron BLIP Japanese StableLM Base 7B},
author = {Kotaro Tanahashi, Yuichi Inoue, and Yu Yamaguchi}
}
Citations
@misc{JapaneseInstructBLIPAlpha,
url = {[https://huggingface.co/stabilityai/japanese-instructblip-alpha](https://huggingface.co/stabilityai/japanese-instructblip-alpha)},
title = {Japanese InstructBLIP Alpha},
author = {Shing, Makoto and Akiba, Takuya}
}
license: cc-by-nc-4.0
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