How to use junyoung-00/Phi-3.5-vision-instruct-ChartCap 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="junyoung-00/Phi-3.5-vision-instruct-ChartCap", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("junyoung-00/Phi-3.5-vision-instruct-ChartCap", trust_remote_code=True, device_map="auto")
https://huggingface.co/junyoung-00/Phi-3.5-vision-instruct-ChartCap/resolve/main/tokenizer.json
hf download hf://junyoung-00/Phi-3.5-vision-instruct-ChartCap/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/junyoung-00/Phi-3.5-vision-instruct-ChartCap/resolve/main/tokenizer.json
