Modelpublic

Nithiwat/fake-news-debunker

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem: Fake News Classification
—Problem type: Binary Classification
—Model ID: 785124234
—CO2 Emissions (in grams): 4.415122243239347

Validation Metrics

—Loss: 0.00012586714001372457
—Accuracy: 0.9998886538247411
—Precision: 1.0
—Recall: 0.9997665732959851
—AUC: 0.9999999999999999
—F1: 0.999883273024396

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/Nithiwat/autotrain-fake-news-classifier-785124234

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Nithiwat/autotrain-fake-news-classifier-785124234", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Nithiwat/autotrain-fake-news-classifier-785124234", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)