Instructions to use AquilaX-AI/NL-JSON-Start-Scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AquilaX-AI/NL-JSON-Start-Scan with Transformers:

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

pipe = pipeline("text-generation", model="AquilaX-AI/NL-JSON-Start-Scan")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("AquilaX-AI/NL-JSON-Start-Scan")
model = AutoModelForSeq2SeqLM.from_pretrained("AquilaX-AI/NL-JSON-Start-Scan", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AquilaX-AI/NL-JSON-Start-Scan with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AquilaX-AI/NL-JSON-Start-Scan

SGLang

How to use AquilaX-AI/NL-JSON-Start-Scan 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 "AquilaX-AI/NL-JSON-Start-Scan" \
    --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": "AquilaX-AI/NL-JSON-Start-Scan",
		"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 "AquilaX-AI/NL-JSON-Start-Scan" \
        --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": "AquilaX-AI/NL-JSON-Start-Scan",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AquilaX-AI/NL-JSON-Start-Scan with Docker Model Runner:
```
docker model run hf.co/AquilaX-AI/NL-JSON-Start-Scan
```

Mr-Vicky-01 commited on Jul 24, 2024

Commit

d4ff9a4

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1 Parent(s): 467be1d

Update README.md

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@@ -56,7 +56,8 @@ model = AutoModelForSeq2SeqLM.from_pretrained("AquilaX-AI/NL-JSON-60M")
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 # Change YOUR_QUERY eg: can this https://github.com/mr-vicky-01/educational-assitant on every week using pii and sast scan
-query = "convert my query into json: " + "YOUR_QUERY".lower()
 start = time.time()

 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 # Change YOUR_QUERY eg: can this https://github.com/mr-vicky-01/educational-assitant on every week using pii and sast scan
+query = "Translate the following text to JSON: " + "YOUR_QUERY".lower()
+query = query.replace(",", "")
 start = time.time()