Instructions to use codeparrot/codeparrot-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeparrot/codeparrot-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="codeparrot/codeparrot-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("codeparrot/codeparrot-small") model = AutoModelForCausalLM.from_pretrained("codeparrot/codeparrot-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use codeparrot/codeparrot-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "codeparrot/codeparrot-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "codeparrot/codeparrot-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/codeparrot/codeparrot-small
- SGLang
How to use codeparrot/codeparrot-small 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 "codeparrot/codeparrot-small" \ --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": "codeparrot/codeparrot-small", "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 "codeparrot/codeparrot-small" \ --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": "codeparrot/codeparrot-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use codeparrot/codeparrot-small with Docker Model Runner:
docker model run hf.co/codeparrot/codeparrot-small
step 105000
Browse files- log/debug_0.log +2 -2
- pytorch_model.bin +1 -1
- runs/Nov06_21-16-12_leandro-16x-v100/events.out.tfevents.1636233372.leandro-16x-v100.4368.0 +2 -2
- wandb/run-20211106_211610-dtkf2u0m/files/output.log +0 -0
- wandb/run-20211106_211610-dtkf2u0m/files/wandb-summary.json +1 -1
- wandb/run-20211106_211610-dtkf2u0m/logs/debug-internal.log +2 -2
- wandb/run-20211106_211610-dtkf2u0m/run-dtkf2u0m.wandb +2 -2
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