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aamanlamba
/
phi3-payments-finetune

Text Generation
Transformers
Safetensors
English
phi-3
lora
payments
finance
natural-language-generation
finetuned
conversational
Model card Files Files and versions
xet
Community

Instructions to use aamanlamba/phi3-payments-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aamanlamba/phi3-payments-finetune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="aamanlamba/phi3-payments-finetune")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("aamanlamba/phi3-payments-finetune", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use aamanlamba/phi3-payments-finetune with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "aamanlamba/phi3-payments-finetune"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "aamanlamba/phi3-payments-finetune",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/aamanlamba/phi3-payments-finetune
  • SGLang

    How to use aamanlamba/phi3-payments-finetune 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 "aamanlamba/phi3-payments-finetune" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "aamanlamba/phi3-payments-finetune",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    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 "aamanlamba/phi3-payments-finetune" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "aamanlamba/phi3-payments-finetune",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use aamanlamba/phi3-payments-finetune with Docker Model Runner:

    docker model run hf.co/aamanlamba/phi3-payments-finetune
phi3-payments-finetune / checkpoint-150
111 MB
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  • 1 contributor
History: 1 commit
aamanlamba's picture
aamanlamba
Upload fine-tuned Phi-3 payments model
85d2aa9 verified 8 months ago
  • README.md
    5.22 kB
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  • adapter_config.json
    985 Bytes
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  • adapter_model.safetensors
    35.7 MB
    xet
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  • chat_template.jinja
    414 Bytes
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  • optimizer.pt
    71.4 MB
    xet
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  • rng_state.pth
    14.2 kB
    xet
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  • scaler.pt
    988 Bytes
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  • scheduler.pt
    1.06 kB
    xet
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  • special_tokens_map.json
    479 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
    3.06 kB
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  • trainer_state.json
    3.8 kB
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  • training_args.bin
    5.37 kB
    xet
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