How to use unography/blip-large-long-cap-sam-llava 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="unography/blip-large-long-cap-sam-llava")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("unography/blip-large-long-cap-sam-llava") model = AutoModelForMultimodalLM.from_pretrained("unography/blip-large-long-cap-sam-llava", device_map="auto")
https://huggingface.co/unography/blip-large-long-cap-sam-llava/resolve/main/tokenizer.json
hf download hf://unography/blip-large-long-cap-sam-llava/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/unography/blip-large-long-cap-sam-llava/resolve/main/tokenizer.json
