Downloads · 30 days
25
1% of all-time downloads
THAI-BLIP-2
kkatiz/THAI-BLIP-2
THAI-BLIP-2 is a image-to-text model from kkatiz. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as mit.
fine-tuned for image captioning task from blip2-opt-2.7b-coco with MSCOCO2017 thai caption.
All-time downloads
4.5K
Public
Parameters
9.6B
38.5 GB on disk
Likes
8
Public
Repo makeup
Click a slice to open those files.
.safetensors38.5 GB · 100%
At a glance
- Task
- Image-to-Text
- Library
- transformers
- License
- mit
- Model type
- blip-2
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Sep 19, 2024
- SHA
- 8870a1f1
Base models
Model card
From the Hugging Face model README
THAI-BLIP-2
fine-tuned for image captioning task from blip2-opt-2.7b-coco with MSCOCO2017 thai caption.
How to use:
from transformers import Blip2ForConditionalGeneration, Blip2Processor
from PIL import Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
processor = Blip2Processor.from_pretrained("kkatiz/THAI-BLIP-2")
model = Blip2ForConditionalGeneration.from_pretrained("kkatiz/THAI-BLIP-2", device_map=device, torch_dtype=torch.bfloat16)
img = Image.open("Your image...")
inputs = processor(images=img, return_tensors="pt").to(device, torch.bfloat16)
# Adjust your `max_length`
generated_ids = model.generate(**inputs, max_length=20)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)
print(generated_text)
- Task
- Image-to-Text
- Library
- transformers
- Type
- blip-2
- License
- mit
- Languages
- th
- Created
- Apr 25, 2024
- Updated
- Sep 19, 2024