Instructions to use NeoDim/starcoderbase-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeoDim/starcoderbase-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeoDim/starcoderbase-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeoDim/starcoderbase-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use NeoDim/starcoderbase-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeoDim/starcoderbase-GGML" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeoDim/starcoderbase-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NeoDim/starcoderbase-GGML
- SGLang
How to use NeoDim/starcoderbase-GGML 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 "NeoDim/starcoderbase-GGML" \ --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": "NeoDim/starcoderbase-GGML", "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 "NeoDim/starcoderbase-GGML" \ --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": "NeoDim/starcoderbase-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NeoDim/starcoderbase-GGML with Docker Model Runner:
docker model run hf.co/NeoDim/starcoderbase-GGML
- Xet hash:
- c3e1c3132c32a7e61330357369781aa3f6bb5c69fb75339b273963d6ef85ea51
- Size of remote file:
- 37.7 GB
- SHA256:
- 7dfa7f7f7783738983243aad8e6ce273c6416cc8dd026651c893219142027799
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