README.md

metadata

tags:
  - autotrain
language: de
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Vmuaddib/autotrain-data-gudel-department-classifier-clean
co2_eq_emissions: 14.294320632050567

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 886428460
• CO2 Emissions (in grams): 14.294320632050567

Validation Metrics

• Loss: 0.051413487643003464
• Accuracy: 0.9894490035169988
• Precision: 1.0
• Recall: 0.9862174578866769
• AUC: 0.9989318529862175
• F1: 0.9930609097918273

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/Vmuaddib/autotrain-gudel-department-classifier-clean-886428460

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Vmuaddib/autotrain-gudel-department-classifier-clean-886428460", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Vmuaddib/autotrain-gudel-department-classifier-clean-886428460", use_auth_token=True)

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

outputs = model(**inputs)