Instructions to use dongbobo/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dongbobo/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dongbobo/MyAwesomeModel")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("dongbobo/MyAwesomeModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use dongbobo/MyAwesomeModel with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dongbobo/MyAwesomeModel" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dongbobo/MyAwesomeModel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dongbobo/MyAwesomeModel
- SGLang
How to use dongbobo/MyAwesomeModel 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 "dongbobo/MyAwesomeModel" \ --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": "dongbobo/MyAwesomeModel", "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 "dongbobo/MyAwesomeModel" \ --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": "dongbobo/MyAwesomeModel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dongbobo/MyAwesomeModel with Docker Model Runner:
docker model run hf.co/dongbobo/MyAwesomeModel
MyAwesomeModel / evaluation /build /lib.linux-x86_64-cpython-313 /utils /benchmark_utils.cpython-313-x86_64-linux-gnu.so
- Xet hash:
- 2fd10c05c054114555d744067a8c67449726673da7f0a2c1bc23f4f42206822b
- Size of remote file:
- 714 kB
- SHA256:
- 9ae9c7cc713b5dae1e04fa9c128874564d866648bed5e7f465adf34785d0d212
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