Qinghui/autonlp-fake-covid-news-36769078

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 36769078
• CO2 Emissions (in grams): 23.42719853096565

Validation Metrics

• Loss: 0.15959647297859192
• Accuracy: 0.9817757009345794
• Precision: 0.980411361410382
• Recall: 0.9813725490196078
• AUC: 0.9982379201680672
• F1: 0.9808917197452229

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/Qinghui/autonlp-fake-covid-news-36769078

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Qinghui/autonlp-fake-covid-news-36769078", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Qinghui/autonlp-fake-covid-news-36769078", use_auth_token=True)

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

outputs = model(**inputs)