Instructions to use mie00/autoeq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mie00/autoeq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mie00/autoeq")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mie00/autoeq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mie00/autoeq with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mie00/autoeq" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mie00/autoeq", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mie00/autoeq
- SGLang
How to use mie00/autoeq 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 "mie00/autoeq" \ --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": "mie00/autoeq", "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 "mie00/autoeq" \ --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": "mie00/autoeq", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mie00/autoeq with Docker Model Runner:
docker model run hf.co/mie00/autoeq
Download decoder.onnx from mie00/autoeq: direct link, hf CLI and curl.
- Browser
- Download file 6.87 MB
-
https://huggingface.co/mie00/autoeq/resolve/main/decoder.onnx
- Command line
-
hf download hf://mie00/autoeq/decoder.onnx
-
curl -L -o decoder.onnx https://huggingface.co/mie00/autoeq/resolve/main/decoder.onnx
6.87 MB
- Xet hash:
- 10122d0399e7f9b7ab4db031970cd0668f5de056a4a5ed2d37d0e2064490d624
- Size of remote file:
- 6.87 MB
- SHA256:
- d1ae6ab6323f6a2e56cd4ec1f8f2a419e44ca5f2710923be2281aad50e810931
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