Instructions to use Yemen-JPT/OSINT-Editor-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Yemen-JPT/OSINT-Editor-LoRA with Transformers:

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

pipe = pipeline("text-generation", model="Yemen-JPT/OSINT-Editor-LoRA")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Yemen-JPT/OSINT-Editor-LoRA", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Yemen-JPT/OSINT-Editor-LoRA with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Yemen-JPT/OSINT-Editor-LoRA"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yemen-JPT/OSINT-Editor-LoRA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Yemen-JPT/OSINT-Editor-LoRA

SGLang

How to use Yemen-JPT/OSINT-Editor-LoRA 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 "Yemen-JPT/OSINT-Editor-LoRA" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yemen-JPT/OSINT-Editor-LoRA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Yemen-JPT/OSINT-Editor-LoRA" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yemen-JPT/OSINT-Editor-LoRA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Yemen-JPT/OSINT-Editor-LoRA with Docker Model Runner:
```
docker model run hf.co/Yemen-JPT/OSINT-Editor-LoRA
```

YemenJPT-Editor-Adapter-v1

محول LoRA - إضافة قدرات التحرير الصحفي

الوصف

محول LoRA - إضافة قدرات التحرير الصحفي. هذا النموذج/القاعدة جزء من مجموعة YemenJPT المخصصة لدعم الصحافة الاستقصائية اليمنية.

الروابط

التحميل

# عبر HuggingFace Hub
git lfs clone https://huggingface.co/Yemen-JPT/OSINT-Editor-LoRA

# أو عبر pip (للنماذج)
pip install huggingface-hub
huggingface-cli download Yemen-JPT/OSINT-Editor-LoRA

الترخيص

هذا العمل متاح تحت رخصة Apache 2.0 (للنماذج) أو CC-BY-4.0 (لقواعد البيانات).

YemenJPT — تمكين الصحافة اليمنية بالذكاء الاصطناعي
طُوّر بواسطة RaidanPro بالتعاون مع بيت الصحافة - Press House
الموقع الرسمي • فيسبوك • لينكدإن • يوتيوب • HuggingFace • Ollama
yemenjpt@raidan.pro

YemenJPT-Editor-Adapter-v1

LoRA adapter - add editing capabilities to existing models

Description

LoRA adapter - add editing capabilities to existing models. This model/dataset is part of the YemenJPT collection dedicated to supporting Yemeni investigative journalism.

Download

# Via HuggingFace Hub
git lfs clone https://huggingface.co/Yemen-JPT/OSINT-Editor-LoRA

# Or via pip (for models)
pip install huggingface-hub
huggingface-cli download Yemen-JPT/OSINT-Editor-LoRA

License

This work is licensed under Apache 2.0 (for models) or CC-BY-4.0 (for datasets).

Downloads last month: -; Downloads are not tracked for this model. How to track

Yemen-JPT
/

OSINT-Editor-LoRA

YemenJPT-Editor-Adapter-v1

الوصف

الروابط

التحميل

الترخيص

YemenJPT-Editor-Adapter-v1

Description

Links

Download

License