Instructions to use appvoid/linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appvoid/linear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="appvoid/linear")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("appvoid/linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use appvoid/linear with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "appvoid/linear" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/linear", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/appvoid/linear
- SGLang
How to use appvoid/linear 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 "appvoid/linear" \ --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": "appvoid/linear", "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 "appvoid/linear" \ --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": "appvoid/linear", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use appvoid/linear with Docker Model Runner:
docker model run hf.co/appvoid/linear
Download checkpoints/step_0000894000.pt from appvoid/linear: direct link, hf CLI and curl.
- Browser
- Download file 1.37 GB
-
https://huggingface.co/appvoid/linear/resolve/a1da170c707db571d44c669ac215ee4895648ab4/checkpoints/step_0000894000.pt
- Command line
-
hf download hf://appvoid/linear@a1da170c707db571d44c669ac215ee4895648ab4/checkpoints/step_0000894000.pt
-
curl -L -o step_0000894000.pt https://huggingface.co/appvoid/linear/resolve/a1da170c707db571d44c669ac215ee4895648ab4/checkpoints/step_0000894000.pt
1.37 GB
- Xet hash:
- 2709f6f053c25413f0271c3018afd80695b7768f30eaa39a75d222f3befa49ca
- Size of remote file:
- 1.37 GB
- SHA256:
- b9d5e3d63a0f48c0a909177bdde9281b2fa9491c7646f9f7e12b962a6563cee7
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