Instructions to use bigcode/starcoderbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigcode/starcoderbase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigcode/starcoderbase")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigcode/starcoderbase") model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigcode/starcoderbase with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigcode/starcoderbase" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigcode/starcoderbase", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigcode/starcoderbase
- SGLang
How to use bigcode/starcoderbase 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 "bigcode/starcoderbase" \ --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": "bigcode/starcoderbase", "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 "bigcode/starcoderbase" \ --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": "bigcode/starcoderbase", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigcode/starcoderbase with Docker Model Runner:
docker model run hf.co/bigcode/starcoderbase
git clone failed: Connection reset by peer
I tried to download the model file by running:
git lfs install
git clone https://huggingface.co/bigcode/starcoderbase
But got the following error:
fatal: unable to access 'https://huggingface.co/bigcode/starcoderbase.git/': error:02FFF036:system library:func(4095):Connection reset by peer
I also tried git clone [email protected]:bigcode/starcoderbase, but also failed.
Could anyone kindly help me with this? Many thanks in advance.
I just tried to download it using AutoTokenizer.from_pretrained("bigcode/starcoderbase") and I got the following message:
bigcode/starcoderbase is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
Seems both issues are related. Are we missing authentication or is the model down?