from transformers import BlipProcessor, BlipModel

# Load model & processor
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
model = BlipModel.from_pretrained("Salesforce/blip-image-captioning-base")

from huggingface_hub import notebook_login

notebook_login()

processor.save_pretrained('blip-base') # safe_serialization=True
model.save_pretrained('blip-base')

!hf repo create blip-base --repo-type model

from huggingface_hub import upload_folder

upload_folder(
    repo_id='DevJGraham/blip-base',
    folder_path = 'blip-base'
)