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anelnurkayeva
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autonlp-covid-432211280

Text Classification
Transformers
PyTorch
English
roberta
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-covid-432211280 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - anelnurkayeva/autonlp-data-covid
co2_eq_emissions: 8.898145050355591

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 432211280
  • CO2 Emissions (in grams): 8.898145050355591

Validation Metrics

  • Loss: 0.12489336729049683
  • Accuracy: 0.9520089285714286
  • Precision: 0.9436443331246086
  • Recall: 0.9747736093143596
  • AUC: 0.9910066767410616
  • F1: 0.958956411072224

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/anelnurkayeva/autonlp-covid-432211280

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("anelnurkayeva/autonlp-covid-432211280", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("anelnurkayeva/autonlp-covid-432211280", use_auth_token=True)

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

outputs = model(**inputs)