Modelpublic

Eip/autotrain-real-vs-fake-news-2757281771

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem type: Binary Classification
—Model ID: 2757281771
—CO2 Emissions (in grams): 2.3994

Validation Metrics

—Loss: 0.002
—Accuracy: 1.000
—Precision: 1.000
—Recall: 1.000
—AUC: 1.000
—F1: 1.000

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/Eip/autotrain-real-vs-fake-news-2757281771

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Eip/autotrain-real-vs-fake-news-2757281771", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Eip/autotrain-real-vs-fake-news-2757281771", use_auth_token=True)

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

outputs = model(**inputs)