Duplicated from Gflorent/blip_image_embeddings
How to use radames/blip_image_embeddings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="radames/blip_image_embeddings")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("radames/blip_image_embeddings", device_map="auto")
https://huggingface.co/radames/blip_image_embeddings/resolve/refs%2Fpr%2F1/models/__pycache__/blip_decoder.cpython-37.pyc
hf download hf://radames/blip_image_embeddings@refs/pr/1/models/__pycache__/blip_decoder.cpython-37.pyc
curl -L -o blip_decoder.cpython-37.pyc https://huggingface.co/radames/blip_image_embeddings/resolve/refs%2Fpr%2F1/models/__pycache__/blip_decoder.cpython-37.pyc
