Text Generation
Transformers
PyTorch
English
improved-unified-multi-model-pt
ai
machine-learning
multimodal
orchestration
reasoning
parent-llm
image-captioning
text-to-image
Instructions to use kunaliitkgp09/improved-unified-multi-model-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kunaliitkgp09/improved-unified-multi-model-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kunaliitkgp09/improved-unified-multi-model-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kunaliitkgp09/improved-unified-multi-model-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use kunaliitkgp09/improved-unified-multi-model-pt with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kunaliitkgp09/improved-unified-multi-model-pt" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kunaliitkgp09/improved-unified-multi-model-pt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kunaliitkgp09/improved-unified-multi-model-pt
- SGLang
How to use kunaliitkgp09/improved-unified-multi-model-pt 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 "kunaliitkgp09/improved-unified-multi-model-pt" \ --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": "kunaliitkgp09/improved-unified-multi-model-pt", "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 "kunaliitkgp09/improved-unified-multi-model-pt" \ --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": "kunaliitkgp09/improved-unified-multi-model-pt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kunaliitkgp09/improved-unified-multi-model-pt with Docker Model Runner:
docker model run hf.co/kunaliitkgp09/improved-unified-multi-model-pt
| #!/usr/bin/env python3 | |
| """ | |
| Setup script for Improved Unified Multi-Model PT v2.0.0 | |
| """ | |
| import subprocess | |
| import sys | |
| import os | |
| def install_requirements(): | |
| """Install required packages""" | |
| print("π¦ Installing required packages...") | |
| try: | |
| subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"]) | |
| print("β Requirements installed successfully!") | |
| except subprocess.CalledProcessError as e: | |
| print(f"β Error installing requirements: {e}") | |
| return False | |
| return True | |
| def test_installation(): | |
| """Test the installation""" | |
| print("π§ͺ Testing installation...") | |
| try: | |
| from improved_unified_model_pt import ImprovedUnifiedMultiModelPT, ImprovedUnifiedModelConfig | |
| print("β Model classes imported successfully!") | |
| # Test basic functionality | |
| config = ImprovedUnifiedModelConfig() | |
| print("β Configuration created successfully!") | |
| return True | |
| except ImportError as e: | |
| print(f"β Import error: {e}") | |
| return False | |
| def main(): | |
| """Main setup function""" | |
| print("π Setting up Improved Unified Multi-Model PT v2.0.0") | |
| print("=" * 60) | |
| # Install requirements | |
| if not install_requirements(): | |
| print("β Setup failed during requirements installation") | |
| return False | |
| # Test installation | |
| if not test_installation(): | |
| print("β Setup failed during testing") | |
| return False | |
| print("π Setup completed successfully!") | |
| print("π Check README.md for usage examples") | |
| return True | |
| if __name__ == "__main__": | |
| success = main() | |
| sys.exit(0 if success else 1) | |