Instructions to use ahj224/mymodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahj224/mymodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ahj224/mymodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ahj224/mymodel") model = AutoModelForCausalLM.from_pretrained("ahj224/mymodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ahj224/mymodel with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ahj224/mymodel" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ahj224/mymodel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ahj224/mymodel
- SGLang
How to use ahj224/mymodel 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 "ahj224/mymodel" \ --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": "ahj224/mymodel", "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 "ahj224/mymodel" \ --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": "ahj224/mymodel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ahj224/mymodel with Docker Model Runner:
docker model run hf.co/ahj224/mymodel
Download pytorch_model.bin from ahj224/mymodel: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/ahj224/mymodel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ahj224/mymodel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ahj224/mymodel/resolve/main/pytorch_model.bin
16.8 MB
- Xet hash:
- 257e0e26b501b827f86629060ffb01ce94e1a73cf86085d150acdd9dd0a9c86c
- Size of remote file:
- 16.8 MB
- SHA256:
- 5acff06c9d2a76e54684e453b3528e6d25b368280492fa003a128a43bc1a6d27
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