Instructions to use cfli/MiniCPM-2B-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfli/MiniCPM-2B-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cfli/MiniCPM-2B-reranker", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("cfli/MiniCPM-2B-reranker", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cfli/MiniCPM-2B-reranker with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cfli/MiniCPM-2B-reranker" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cfli/MiniCPM-2B-reranker", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cfli/MiniCPM-2B-reranker
- SGLang
How to use cfli/MiniCPM-2B-reranker with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "cfli/MiniCPM-2B-reranker" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cfli/MiniCPM-2B-reranker", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "cfli/MiniCPM-2B-reranker" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cfli/MiniCPM-2B-reranker", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cfli/MiniCPM-2B-reranker with Docker Model Runner:
docker model run hf.co/cfli/MiniCPM-2B-reranker
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "cfli/MiniCPM-2B-reranker",
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"architectures": [
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"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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{
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"_name_or_path": "cfli/MiniCPM-2B-reranker",
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"architectures": [
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"LayerWiseMiniCPMForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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