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BLIP-Image-to-recipe
fatehmujtaba/BLIP-Image-to-recipe
BLIP-Image-to-recipe is a image-to-text model from fatehmujtaba. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- blip
- Access
- Public
- Created
- May 10, 2024
- Updated
- May 12, 2024
- SHA
- b206555b
Model card
From the Hugging Face model README
BLIP-Image-to-recip
Inference code
import requests from PIL import Image
from transformers import BlipForConditionalGeneration, AutoProcessor
img_url = 'https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSQuFg4LTHUattLGPU0kLzYpBGHRtuqgJY8Gho3uZe_cg&s' image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB')
model = BlipForConditionalGeneration.from_pretrained("Fatehmujtaba/BLIP-Image-to-recipe").to(device) processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
inputs = processor(images=image, return_tensors="pt").to(device) pixel_values = inputs.pixel_values generated_ids = model.generate(pixel_values=pixel_values, max_length=50) generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
- Task
- Image-to-Text
- Library
- transformers
- Type
- blip
- License
- apache-2.0
- Created
- May 10, 2024
- Updated
- May 12, 2024