How to use OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px 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="OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px") model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px", device_map="auto")
https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px/resolve/main/train.log
hf download hf://OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px/train.log
curl -L -o train.log https://huggingface.co/OpenGVLab/InternVL-Chat-ViT-6B-Vicuna-13B-448px/resolve/main/train.log
