Duplicated from Salesforce/blip-image-captioning-large
How to use adasdimchom/blip-image-captioning-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="adasdimchom/blip-image-captioning-large")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("adasdimchom/blip-image-captioning-large") model = AutoModelForMultimodalLM.from_pretrained("adasdimchom/blip-image-captioning-large", device_map="auto")
https://huggingface.co/adasdimchom/blip-image-captioning-large/resolve/main/tokenizer.json
hf download hf://adasdimchom/blip-image-captioning-large/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/adasdimchom/blip-image-captioning-large/resolve/main/tokenizer.json
