Instructions to use yujiepan/starcoder-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/starcoder-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="yujiepan/starcoder-tiny-random")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("yujiepan/starcoder-tiny-random") model = AutoModelForCausalLM.from_pretrained("yujiepan/starcoder-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use yujiepan/starcoder-tiny-random with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yujiepan/starcoder-tiny-random" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yujiepan/starcoder-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/yujiepan/starcoder-tiny-random
- SGLang
How to use yujiepan/starcoder-tiny-random 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 "yujiepan/starcoder-tiny-random" \ --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": "yujiepan/starcoder-tiny-random", "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 "yujiepan/starcoder-tiny-random" \ --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": "yujiepan/starcoder-tiny-random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use yujiepan/starcoder-tiny-random with Docker Model Runner:
docker model run hf.co/yujiepan/starcoder-tiny-random
| pipeline_tag: text-generation | |
| inference: true | |
| widget: | |
| - text: 'def print_hello_world():' | |
| example_title: Hello world | |
| group: Python | |
| library_name: transformers | |
| # yujiepan/starcoder-tiny-random | |
| This model is **randomly initialized**, using the config from [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b/tree/main) but with the following modifications: | |
| ```json | |
| { | |
| "n_embd": 32, | |
| "n_head": 8, | |
| "n_inner": 128, | |
| "n_layer": 1, | |
| } | |
| ``` |