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

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)