README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - maxzancanaro/autotrain-data-warranty_1157
co2_eq_emissions:
  emissions: 0.5055819112175413

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 93769145910
• CO2 Emissions (in grams): 0.5056

Validation Metrics

• Loss: 0.421
• Accuracy: 0.806
• Precision: 0.775
• Recall: 0.862
• AUC: 0.905
• F1: 0.816

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/maxzancanaro/autotrain-warranty_1157-93769145910

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("maxzancanaro/autotrain-warranty_1157-93769145910", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("maxzancanaro/autotrain-warranty_1157-93769145910", use_auth_token=True)

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

outputs = model(**inputs)