Instructions to use HwwwH/MiniCPM-V-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HwwwH/MiniCPM-V-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HwwwH/MiniCPM-V-2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HwwwH/MiniCPM-V-2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.model
Browse files- tokenizer.model +3 -0
tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:b046f377b2f09a90623a46611bd5d23cb76ac89ca7804a372408f37aff7b96a0
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size 1994817
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