README.md

metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - jwuthri/autonlp-data-shipping_status_2
co2_eq_emissions: 32.912881644048

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 27366103
• CO2 Emissions (in grams): 32.912881644048

Validation Metrics

• Loss: 0.18175844848155975
• Accuracy: 0.9437683592110785
• Precision: 0.9416809605488851
• Recall: 0.8459167950693375
• AUC: 0.9815242330050846
• F1: 0.8912337662337663

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/jwuthri/autonlp-shipping_status_2-27366103

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jwuthri/autonlp-shipping_status_2-27366103", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jwuthri/autonlp-shipping_status_2-27366103", use_auth_token=True)

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

outputs = model(**inputs)