Instructions to use papahawk/keya-560m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use papahawk/keya-560m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="papahawk/keya-560m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("papahawk/keya-560m") model = AutoModelForCausalLM.from_pretrained("papahawk/keya-560m") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use papahawk/keya-560m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "papahawk/keya-560m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "papahawk/keya-560m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/papahawk/keya-560m
- SGLang
How to use papahawk/keya-560m 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 "papahawk/keya-560m" \ --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": "papahawk/keya-560m", "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 "papahawk/keya-560m" \ --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": "papahawk/keya-560m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use papahawk/keya-560m with Docker Model Runner:
docker model run hf.co/papahawk/keya-560m
| # Use an official Python runtime as a parent image | |
| FROM python:3.11 | |
| # Set environment variables | |
| ENV TRANSFORMERS_CACHE=/tmp | |
| # Set work directory | |
| WORKDIR /usr/src/app | |
| # Install any needed packages specified in requirements.txt | |
| COPY requirements.txt ./ | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Copy the current directory contents into the container at /app | |
| COPY . . | |
| # Make port 80 available to the world outside this container | |
| EXPOSE 80 | |
| # Run app.py when the container launches | |
| CMD ["python", "app.py"] | |