Instructions to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts") - Transformers
How to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts
- SGLang
How to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts 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 "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts" \ --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": "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts", "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 "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts" \ --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": "hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts with Docker Model Runner:
docker model run hf.co/hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts
WAR-OSINT AI: Detecting Disinformation and Influence Operations During Regional Conflicts
Overview
This model is a specialized Arabic LLM designed to analyze news articles and detect fake news during regional conflicts.
Model Details
Model Description
- Base Model: mistralai/Mistral-Nemo-Instruct-2407
- Language: Arabic
- License: Apache License 2.0
- Downloads last month
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Model tree for hugsanaa/WAR-OSINT-AI-Detecting-Disinformation-and-Influence-Operations-During-Regional-Conflicts
Base model
mistralai/Mistral-Nemo-Base-2407