Instructions to use chandrujobs/AI_Machine_Learning_News_Analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use chandrujobs/AI_Machine_Learning_News_Analyzer with Transformers:

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

pipe = pipeline("text-generation", model="chandrujobs/AI_Machine_Learning_News_Analyzer")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("chandrujobs/AI_Machine_Learning_News_Analyzer", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use chandrujobs/AI_Machine_Learning_News_Analyzer with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/chandrujobs/AI_Machine_Learning_News_Analyzer

SGLang

How to use chandrujobs/AI_Machine_Learning_News_Analyzer 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 "chandrujobs/AI_Machine_Learning_News_Analyzer" \
    --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": "chandrujobs/AI_Machine_Learning_News_Analyzer",
		"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 "chandrujobs/AI_Machine_Learning_News_Analyzer" \
        --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": "chandrujobs/AI_Machine_Learning_News_Analyzer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use chandrujobs/AI_Machine_Learning_News_Analyzer with Docker Model Runner:
```
docker model run hf.co/chandrujobs/AI_Machine_Learning_News_Analyzer
```

AI & Machine Learning News Analyzer

Overview

The AI & Machine Learning News Analyzer is a weekend project designed to leverage a pre-trained GPT-2 model for summarizing and analyzing the latest news articles in the field of artificial intelligence (AI) and machine learning (ML). The application fetches real-time news articles and provides concise analyses, highlighting significant developments in the AI and ML landscape.

License

This project is licensed under the MIT License.

Datasets

NewsAPI: Utilized for fetching news articles related to AI and ML.

Languages

Python

Metrics

No specific metrics applied, but the system analyzes news articles and generates insights.

Base Model

GPT-2 (gpt2)

New Version

Version 1.0 (Initial release)

Pipeline Tag

text-generation

Library

Hugging Face Transformers
Gradio

Usage

Clone the repository.
Install the required packages:
```
pip install -r requirements.txt
```

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