README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Johny201/autotrain-data-article_pred
co2_eq_emissions: 3.973071565343572

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1142742075
• CO2 Emissions (in grams): 3.973071565343572

Validation Metrics

• Loss: 0.6098461151123047
• Accuracy: 0.7227722772277227
• Precision: 0.6805555555555556
• Recall: 0.9074074074074074
• AUC: 0.7480299448384554
• F1: 0.7777777777777779

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/Johny201/autotrain-article_pred-1142742075

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)

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

outputs = model(**inputs)