Text Generation
Transformers
PyTorch
English
gpt_bigcode
HumanEval
StarCoder
Eval Results (legacy)
text-generation-inference
Instructions to use jinaai/starcoder-1b-textbook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/starcoder-1b-textbook with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jinaai/starcoder-1b-textbook")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jinaai/starcoder-1b-textbook") model = AutoModelForCausalLM.from_pretrained("jinaai/starcoder-1b-textbook") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use jinaai/starcoder-1b-textbook with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jinaai/starcoder-1b-textbook" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jinaai/starcoder-1b-textbook", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/jinaai/starcoder-1b-textbook
- SGLang
How to use jinaai/starcoder-1b-textbook 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 "jinaai/starcoder-1b-textbook" \ --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": "jinaai/starcoder-1b-textbook", "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 "jinaai/starcoder-1b-textbook" \ --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": "jinaai/starcoder-1b-textbook", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use jinaai/starcoder-1b-textbook with Docker Model Runner:
docker model run hf.co/jinaai/starcoder-1b-textbook
- Xet hash:
- fd09beea26f24959dee2c06b1e104e10c3751cb8c002dea1385735a2fa714b5d
- Size of remote file:
- 4.55 GB
- SHA256:
- 22e2ebd6c08e650edf4959ba737a5337c15ce36952d7144bcb0dbd77c9dc77a0
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