README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - Anwaarma/autotrain-data-enhancedauto
co2_eq_emissions:
  emissions: 3.3106524610859784

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 72049138835
• CO2 Emissions (in grams): 3.3107

Validation Metrics

• Loss: 0.042
• Accuracy: 0.990
• Precision: 0.994
• Recall: 0.935
• AUC: 0.997
• F1: 0.964

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/Anwaarma/autotrain-enhancedauto-72049138835

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/autotrain-enhancedauto-72049138835", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Anwaarma/autotrain-enhancedauto-72049138835", use_auth_token=True)

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

outputs = model(**inputs)