How to use TeeA/MATCHA-ViChart with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="TeeA/MATCHA-ViChart")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("TeeA/MATCHA-ViChart") model = AutoModelForMultimodalLM.from_pretrained("TeeA/MATCHA-ViChart", device_map="auto")
https://huggingface.co/TeeA/MATCHA-ViChart/resolve/c016a6726b84ebec0dae9214842fbbad1bb90dec/tokenizer.json
hf download hf://TeeA/MATCHA-ViChart@c016a6726b84ebec0dae9214842fbbad1bb90dec/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/TeeA/MATCHA-ViChart/resolve/c016a6726b84ebec0dae9214842fbbad1bb90dec/tokenizer.json
