Text Generation
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
text-generation-inference
Instructions to use Ulto/pythonCoPilot3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ulto/pythonCoPilot3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ulto/pythonCoPilot3")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Ulto/pythonCoPilot3") model = AutoModelForMultimodalLM.from_pretrained("Ulto/pythonCoPilot3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Ulto/pythonCoPilot3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ulto/pythonCoPilot3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ulto/pythonCoPilot3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Ulto/pythonCoPilot3
- SGLang
How to use Ulto/pythonCoPilot3 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 "Ulto/pythonCoPilot3" \ --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": "Ulto/pythonCoPilot3", "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 "Ulto/pythonCoPilot3" \ --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": "Ulto/pythonCoPilot3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Ulto/pythonCoPilot3 with Docker Model Runner:
docker model run hf.co/Ulto/pythonCoPilot3
- Xet hash:
- a3913f0170d38c796e6fc1aba0ec35d220484ed4f9fb311008051b2b8d73c2ce
- Size of remote file:
- 510 MB
- SHA256:
- 631fb3f6c8112186706a3a1fd5b7e20dd92c1a7a55ac227509a9a3b78d22a3c4
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