Visual Question Answering
Transformers
Safetensors
English
Chinese
minicpmv
feature-extraction
custom_code
Eval Results
Instructions to use openbmb/MiniCPM-V-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-V-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="openbmb/MiniCPM-V-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-V-2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Does this model support batch inference?
#8
by vahyd - opened
Does this model supports batch inference? I see bs variables and list implementations in source code but cannot infer with a list of images and prompts. I use the default code in the model card and pass a list of images and messages to it.
vahyd changed discussion title from Does this model supports batch inference? to Does this model support batch inference?
Not supported yet
Is batch_inference supported now ?