| --- |
| pipeline_tag: image-to-text |
| tags: |
| - image-captioning |
| languages: |
| - en |
| license: bsd-3-clause |
| --- |
| |
| ```python |
| import requests |
| from PIL import Image |
| from transformers import BlipProcessor, BlipForConditionalGeneration |
| processor = BlipProcessor.from_pretrained("Revrse/icon-captioning-model") |
| model = BlipForConditionalGeneration.from_pretrained("Revrse/icon-captioning-model") |
| img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg' |
| raw_image = Image.open(requests.get(img_url, stream=True).raw).convert('RGB') |
| # conditional image captioning |
| text = "a photography of" |
| inputs = processor(raw_image, text, return_tensors="pt") |
| out = model.generate(**inputs) |
| print(processor.decode(out[0], skip_special_tokens=True)) |
| # unconditional image captioning |
| inputs = processor(raw_image, return_tensors="pt") |
| out = model.generate(**inputs) |
| print(processor.decode(out[0], skip_special_tokens=True)) |
| ``` |
