README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - abhishek/autonlp-data-ferd1

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 2652021

Validation Metrics

• Loss: 0.3934604227542877
• Accuracy: 0.8411030860144452
• Precision: 0.8201550387596899
• Recall: 0.8076335877862595
• AUC: 0.8946767157983608
• F1: 0.8138461538461538

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/abhishek/autonlp-ferd1-2652021

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-ferd1-2652021", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-ferd1-2652021", use_auth_token=True)

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

outputs = model(**inputs)