Instructions to use amogaddy/GenerAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amogaddy/GenerAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="amogaddy/GenerAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amogaddy/GenerAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use amogaddy/GenerAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "amogaddy/GenerAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/amogaddy/GenerAI
- SGLang
How to use amogaddy/GenerAI 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 "amogaddy/GenerAI" \ --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": "amogaddy/GenerAI", "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 "amogaddy/GenerAI" \ --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": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use amogaddy/GenerAI with Docker Model Runner:
docker model run hf.co/amogaddy/GenerAI
| FROM python:3.11-slim | |
| WORKDIR /app | |
| # Dipendenze di sistema richieste da Chromium (Playwright) | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| wget gnupg ca-certificates \ | |
| libnss3 libnspr4 libatk1.0-0 libatk-bridge2.0-0 libcups2 \ | |
| libdrm2 libdbus-1-3 libxkbcommon0 libxcomposite1 libxdamage1 \ | |
| libxfixes3 libxrandr2 libgbm1 libasound2 libpango-1.0-0 \ | |
| libcairo2 libatspi2.0-0 libx11-6 libxext6 fonts-liberation \ | |
| && rm -rf /var/lib/apt/lists/* | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| RUN python -m playwright install chromium | |
| COPY . . | |
| # HF Spaces esegue il container come utente non-root (id 1000) | |
| RUN mkdir -p /app/database && chmod -R 777 /app | |
| USER 1000 | |
| EXPOSE 7860 | |
| ENV PYTHONUNBUFFERED=1 | |
| CMD ["python", "app.py"] | |