Instructions to use nlpctx/codet5-java-optimizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nlpctx/codet5-java-optimizer with Transformers:

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

pipe = pipeline("text-generation", model="nlpctx/codet5-java-optimizer")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("nlpctx/codet5-java-optimizer")
model = AutoModelForSeq2SeqLM.from_pretrained("nlpctx/codet5-java-optimizer")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nlpctx/codet5-java-optimizer with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nlpctx/codet5-java-optimizer"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nlpctx/codet5-java-optimizer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/nlpctx/codet5-java-optimizer

SGLang

How to use nlpctx/codet5-java-optimizer 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 "nlpctx/codet5-java-optimizer" \
    --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": "nlpctx/codet5-java-optimizer",
		"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 "nlpctx/codet5-java-optimizer" \
        --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": "nlpctx/codet5-java-optimizer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use nlpctx/codet5-java-optimizer with Docker Model Runner:
```
docker model run hf.co/nlpctx/codet5-java-optimizer
```

codet5-java-optimizer

Commit History

Fix pipeline_tag to text-generation

ae11703

Unknown Haas commited on 7 days ago

Add HF metadata, links, and Apache 2.0 license

2f9309e

Unknown Haas commited on 7 days ago

Initial commit: CodeT5 Java Optimizer model

c5bb003

Unknown Haas commited on 7 days ago

Commit History

Fix pipeline_tag to text-generation ae11703

Add HF metadata, links, and Apache 2.0 license 2f9309e

Initial commit: CodeT5 Java Optimizer model c5bb003

Fix pipeline_tag to text-generation

ae11703

Add HF metadata, links, and Apache 2.0 license

2f9309e

Initial commit: CodeT5 Java Optimizer model

c5bb003