Visual Question Answering
Transformers
PyTorch
English
minicpmv
feature-extraction
GUI
Agent
minicpm
custom_code
Instructions to use RhapsodyAI/minicpm-guidance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RhapsodyAI/minicpm-guidance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="RhapsodyAI/minicpm-guidance", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RhapsodyAI/minicpm-guidance", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with huggingface_hub
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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