Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

RhapsodyAI
/
minicpm-guidance

Visual Question Answering
Transformers
PyTorch
English
minicpmv
feature-extraction
GUI
Agent
minicpm
custom_code
Model card Files Files and versions
xet
Community
2

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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Finetuning error: `config_class` attribute that is not consistent with the config class you passed

3
#2 opened almost 2 years ago by
anothercoder2

Differences between minicpm v2.0 and minicpm-guidance

1
#1 opened almost 2 years ago by
anothercoder2
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs