Modelpublic

rohansingh/autonlp-Fake-news-detection-system-29906863

sourceHugging Faceupdated 5y agoView on Hugging Face

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Model Card

Model Trained Using AutoNLP

—Problem type: Binary Classification
—Model ID: 29906863
—CO2 Emissions (in grams): 3.8624397961432106

Validation Metrics

—Loss: 0.2536192238330841
—Accuracy: 0.9084807809640024
—Precision: 0.9421172886519421
—Recall: 0.9435545385202135
—AUC: 0.9517288050454876
—F1: 0.9428353658536586

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 AutoNLP"}' https://api-inference.huggingface.co/models/rohansingh/autonlp-Fake-news-detection-system-29906863

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rohansingh/autonlp-Fake-news-detection-system-29906863", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("rohansingh/autonlp-Fake-news-detection-system-29906863", use_auth_token=True)

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

outputs = model(**inputs)