Duplicated from Salesforce/blip2-opt-2.7b
How to use getZuma/image-captioning 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="getZuma/image-captioning")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("getZuma/image-captioning") model = AutoModelForMultimodalLM.from_pretrained("getZuma/image-captioning", device_map="auto")
https://huggingface.co/getZuma/image-captioning/resolve/main/vocab.json
hf download hf://getZuma/image-captioning/vocab.json
curl -L -o vocab.json https://huggingface.co/getZuma/image-captioning/resolve/main/vocab.json
