Instructions to use Lichang-Chen/ODIN_L1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lichang-Chen/ODIN_L1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Lichang-Chen/ODIN_L1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Lichang-Chen/ODIN_L1") model = AutoModelForCausalLM.from_pretrained("Lichang-Chen/ODIN_L1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Lichang-Chen/ODIN_L1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Lichang-Chen/ODIN_L1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Lichang-Chen/ODIN_L1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Lichang-Chen/ODIN_L1
- SGLang
How to use Lichang-Chen/ODIN_L1 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 "Lichang-Chen/ODIN_L1" \ --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": "Lichang-Chen/ODIN_L1", "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 "Lichang-Chen/ODIN_L1" \ --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": "Lichang-Chen/ODIN_L1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Lichang-Chen/ODIN_L1 with Docker Model Runner:
docker model run hf.co/Lichang-Chen/ODIN_L1
- Xet hash:
- 14f01da13ad329e3587dc524f79966592de32968ddb161fb328520f296a44a93
- Size of remote file:
- 13.2 GB
- SHA256:
- ee57059e51b207ec17fb3f1743fe147832357ea9a6511763203a15b5caee9e1c
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