README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain
datasets:
  - ejschwartz/autotrain-data-oo-method-test
co2_eq_emissions:
  emissions: 0.14243687811211087

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 65201136070
• CO2 Emissions (in grams): 0.1424

Validation Metrics

• Loss: 0.492
• Accuracy: 0.849
• Precision: 0.834
• Recall: 0.638
• AUC: 0.872
• F1: 0.723

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/ejschwartz/autotrain-oo-method-test-65201136070

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)

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

outputs = model(**inputs)