Instructions to use openbmb/MiniCPM-V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-V with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="openbmb/MiniCPM-V", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-V", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files
model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bed8af8e9f7549ffb8c6f1d6423cacfc8eba8a9ff741692c0472a7cbb7e4d69c
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size 4993235928
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