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 # 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="RhapsodyAI/minicpm-guidance", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RhapsodyAI/minicpm-guidance", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RhapsodyAI/minicpm-guidance: direct link, hf CLI and curl.
- Browser
- Download file 6.34 GB
-
https://huggingface.co/RhapsodyAI/minicpm-guidance/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RhapsodyAI/minicpm-guidance/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RhapsodyAI/minicpm-guidance/resolve/main/pytorch_model.bin
6.34 GB
- Xet hash:
- 59ccb2d5b766c7da26002503ec44e1b47c885c6af142d3e1e6a2dc675d080a16
- Size of remote file:
- 6.34 GB
- SHA256:
- db7c443d18a5411351d498f68746df898b1e96f064c96716c45d2b845508db96
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