Instructions to use openbmb/MiniCPM3-RAG-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use openbmb/MiniCPM3-RAG-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM3-4B") model = PeftModel.from_pretrained(base_model, "openbmb/MiniCPM3-RAG-LoRA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from openbmb/MiniCPM3-RAG-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 3.68 MB
-
https://huggingface.co/openbmb/MiniCPM3-RAG-LoRA/resolve/refs%2Fpr%2F7/tokenizer.json
- Command line
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hf download hf://openbmb/MiniCPM3-RAG-LoRA@refs/pr/7/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/openbmb/MiniCPM3-RAG-LoRA/resolve/refs%2Fpr%2F7/tokenizer.json
3.68 MB
File too large to display, you can check the raw version instead.