README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - esiebomajeremiah/autonlp-data-email-classification
co2_eq_emissions: 3.516233232503715

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 657119381
• CO2 Emissions (in grams): 3.516233232503715

Validation Metrics

• Loss: 0.00037395773688331246
• Accuracy: 1.0
• Precision: 1.0
• Recall: 1.0
• AUC: 1.0
• F1: 1.0

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 AutoNLP"}' https://api-inference.huggingface.co/models/esiebomajeremiah/autonlp-email-classification-657119381

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("esiebomajeremiah/autonlp-email-classification-657119381", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("esiebomajeremiah/autonlp-email-classification-657119381", use_auth_token=True)

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

outputs = model(**inputs)