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nurkayevaa
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autonlp-bert-covid-407910467

Text Classification
Transformers
PyTorch
English
roberta
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-bert-covid-407910467 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - nurkayevaa/autonlp-data-bert-covid
co2_eq_emissions: 10.719439124704492

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 407910467
  • CO2 Emissions (in grams): 10.719439124704492

Validation Metrics

  • Loss: 0.12029844522476196
  • Accuracy: 0.9516339869281045
  • Precision: 0.9477786438035853
  • Recall: 0.9650793650793651
  • AUC: 0.9907376734912967
  • F1: 0.9563507668108534

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/nurkayevaa/autonlp-bert-covid-407910467

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("nurkayevaa/autonlp-bert-covid-407910467", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("nurkayevaa/autonlp-bert-covid-407910467", use_auth_token=True)

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

outputs = model(**inputs)