Instructions to use FinancialSupport/NanoGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinancialSupport/NanoGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FinancialSupport/NanoGPT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FinancialSupport/NanoGPT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use FinancialSupport/NanoGPT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FinancialSupport/NanoGPT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FinancialSupport/NanoGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/FinancialSupport/NanoGPT
- SGLang
How to use FinancialSupport/NanoGPT 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 "FinancialSupport/NanoGPT" \ --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": "FinancialSupport/NanoGPT", "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 "FinancialSupport/NanoGPT" \ --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": "FinancialSupport/NanoGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use FinancialSupport/NanoGPT with Docker Model Runner:
docker model run hf.co/FinancialSupport/NanoGPT
Commit ·
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Parent(s): c91daf7
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- model.bin +3 -0
config.json
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{
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"bias": true,
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"block_size": 1024,
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"dropout": 0.0,
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"n_embd": 768,
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"n_head": 12,
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"n_layer": 12,
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"vocab_size": 50257
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}
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model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cb107f46ecb49dbe5228fe911762c7d6e906863c18a20a3c3e3df5f6b8c1b93
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size 497802202
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