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suresh-subramanian
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autotrain-fake-news-1649058541

Text Classification
Transformers
PyTorch
English
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
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autotrain-fake-news-1649058541 / README.md
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metadata
tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - suresh-subramanian/autotrain-data-fake-news
co2_eq_emissions:
  emissions: 4.695596043893512

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 1649058541
  • CO2 Emissions (in grams): 4.6956

Validation Metrics

  • Loss: 0.459
  • Accuracy: 0.779
  • Precision: 0.790
  • Recall: 0.546
  • AUC: 0.881
  • F1: 0.646

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/suresh-subramanian/autotrain-fake-news-1649058541

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("suresh-subramanian/autotrain-fake-news-1649058541", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("suresh-subramanian/autotrain-fake-news-1649058541", use_auth_token=True)

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

outputs = model(**inputs)