Fake_News_Detector
所属分类：其他
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2023-12-05 12:24:10
上 传 者：
sh-1993
说明： 假新闻检测器
(Fake News Detector)
文件列表:
App.py (1084, 2023-12-12)
Model_Notebook.ipynb (17007, 2023-12-12)
# Fake News Detector
* Achieved **99.55%** Accuracy in Fake News Detection using Natural Language Processing (NLP) by Fine Tuning the **BERT LLM Transformer** on a Dataset of 72,133 News Articles using Python, Pandas, PyTorch, Hugging Face.
* Used **Hugging Face Hub** with **Hugging Face Inference API** for **MLOps / Deploying** the Model.
* Developed an Interactive Web App using Streamlit.
* Tech Used - **Python, Pandas, PyTorch, Hugging Face, Streamlit.**
## How to use it in your projects (2 Ways) -
### Using API Calls with Hugging Face Inference API (Recommended for using it directly in your App)
``` python
import requests
from huggingface_token import token
# Use your own token
st.write("# Fake News Detector")
API_URL = "https://api-inference.huggingface.co/models/tush9905/fake_news_detector"
headers = {"Authorization": f"Bearer {token}"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
```
### OR
### By Importing the Model Itself
``` python
from transformers import AutoModel
model = AutoModel.from_pretrained("tush9905/fake_news_detector")
```
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