Instructions to use LesterCerioli/LLM-GO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LesterCerioli/LLM-GO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LesterCerioli/LLM-GO")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LesterCerioli/LLM-GO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use LesterCerioli/LLM-GO with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LesterCerioli/LLM-GO" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LesterCerioli/LLM-GO", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LesterCerioli/LLM-GO
- SGLang
How to use LesterCerioli/LLM-GO 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 "LesterCerioli/LLM-GO" \ --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": "LesterCerioli/LLM-GO", "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 "LesterCerioli/LLM-GO" \ --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": "LesterCerioli/LLM-GO", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LesterCerioli/LLM-GO with Docker Model Runner:
docker model run hf.co/LesterCerioli/LLM-GO
| # scripts/setup_env.sh — configura o ambiente Python 3.12 e instala dependências | |
| set -euo pipefail | |
| PYTHON=${PYTHON:-python3.12} | |
| VENV_DIR=${VENV_DIR:-.venv} | |
| echo "==> Verificando Python 3.12..." | |
| if ! $PYTHON --version 2>&1 | grep -q "3\.12"; then | |
| echo "ERRO: Python 3.12 não encontrado. Instale via pyenv ou sistema." | |
| exit 1 | |
| fi | |
| echo "==> Criando virtualenv em $VENV_DIR..." | |
| $PYTHON -m venv "$VENV_DIR" | |
| source "$VENV_DIR/bin/activate" | |
| echo "==> Atualizando pip..." | |
| pip install --upgrade pip | |
| echo "==> Instalando dependências (CPU)..." | |
| pip install -r requirements.txt | |
| echo "==> Instalando o pacote em modo editable..." | |
| pip install -e ".[dev]" | |
| echo "" | |
| echo "✅ Ambiente pronto. Para ativar: source $VENV_DIR/bin/activate" | |
| echo " GPU: pip install -r requirements-gpu.txt" | |