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

Libraries

How to use transformersbook/codeparrot-small with Transformers:

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

pipe = pipeline("text-generation", model="transformersbook/codeparrot-small")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("transformersbook/codeparrot-small")
model = AutoModelForCausalLM.from_pretrained("transformersbook/codeparrot-small")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use transformersbook/codeparrot-small with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "transformersbook/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": "transformersbook/codeparrot-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/transformersbook/codeparrot-small

SGLang

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

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

codeparrot-small

Commit History

step 15000

bfee2e5

lvwerra HF Staff commited on Aug 30, 2021

fix typo

cd6f029

lvwerra HF Staff commited on Aug 23, 2021

update training script and requirements

e3d9b66

leandro von werra commited on Aug 23, 2021

add requirements.txt

12f24f2

lvwerra HF Staff commited on Aug 17, 2021

add training script

c8dd7f5

lvwerra HF Staff commited on Aug 17, 2021

add tokenizer

c9c953d

lvwerra HF Staff commited on Aug 17, 2021

add model

7edb85b

leandro von werra commited on Aug 11, 2021

initial commit

0ff7d3d

system HF Staff commited on Aug 11, 2021

Commit History

step 15000 bfee2e5

fix typo cd6f029

update training script and requirements e3d9b66

add requirements.txt 12f24f2

add training script c8dd7f5

add tokenizer c9c953d

add model 7edb85b

initial commit 0ff7d3d

step 15000

bfee2e5

fix typo

cd6f029

update training script and requirements

e3d9b66

add requirements.txt

12f24f2

add training script

c8dd7f5

add tokenizer

c9c953d

add model

7edb85b

initial commit

0ff7d3d