Instructions to use amartyobanerjee/codeparrot-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use amartyobanerjee/codeparrot-ds with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="amartyobanerjee/codeparrot-ds")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("amartyobanerjee/codeparrot-ds")
model = AutoModelForCausalLM.from_pretrained("amartyobanerjee/codeparrot-ds")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use amartyobanerjee/codeparrot-ds with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "amartyobanerjee/codeparrot-ds"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "amartyobanerjee/codeparrot-ds",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/amartyobanerjee/codeparrot-ds

SGLang

How to use amartyobanerjee/codeparrot-ds 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 "amartyobanerjee/codeparrot-ds" \
    --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": "amartyobanerjee/codeparrot-ds",
		"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 "amartyobanerjee/codeparrot-ds" \
        --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": "amartyobanerjee/codeparrot-ds",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use amartyobanerjee/codeparrot-ds with Docker Model Runner:
```
docker model run hf.co/amartyobanerjee/codeparrot-ds
```

codeparrot-ds

Commit History

Adding `safetensors` variant of this model

3106927
verified

SFconvertbot commited on Feb 10, 2025

update model card README.md

51e3ad0

Amartyo Banerjee commited on Aug 11, 2022

End of training

b6a2f94

Amartyo Banerjee commited on Aug 11, 2022

Training in progress, step 5000

71f3122

Amartyo Banerjee commited on Aug 11, 2022

initial commit

4c46581

Amartyo Banerjee commited on Aug 11, 2022

Commit History

Adding `safetensors` variant of this model 3106927 verified

update model card README.md 51e3ad0

End of training b6a2f94

Training in progress, step 5000 71f3122

initial commit 4c46581

Adding `safetensors` variant of this model

3106927
verified

update model card README.md

51e3ad0

End of training

b6a2f94

Training in progress, step 5000

71f3122

initial commit

4c46581