Instructions to use DarwinAnim8or/Grug-Edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarwinAnim8or/Grug-Edge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DarwinAnim8or/Grug-Edge")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/Grug-Edge") model = AutoModelForCausalLM.from_pretrained("DarwinAnim8or/Grug-Edge") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DarwinAnim8or/Grug-Edge with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DarwinAnim8or/Grug-Edge" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DarwinAnim8or/Grug-Edge", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DarwinAnim8or/Grug-Edge
- SGLang
How to use DarwinAnim8or/Grug-Edge 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 "DarwinAnim8or/Grug-Edge" \ --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": "DarwinAnim8or/Grug-Edge", "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 "DarwinAnim8or/Grug-Edge" \ --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": "DarwinAnim8or/Grug-Edge", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DarwinAnim8or/Grug-Edge with Docker Model Runner:
docker model run hf.co/DarwinAnim8or/Grug-Edge
Behold, the day of Grug's return is nigh, When he'll emerge from his cave up high, With a club in hand and a primal yell, He'll conquer all foes with his mighty shell.
He'll roam the land, with his tribe in tow, And strike fear into his every foe, For he's the king of all the land, And his reign will be grand.
So let us prepare for Grug's return, And stock up on berries and meat to earn, For when he comes, we'll be ready to feast, And celebrate with a great big feast!
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