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nurkayevaa
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autonlp-bert-covid-407910458

Text Classification
Transformers
PyTorch
English
distilbert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autonlp-bert-covid-407910458 / 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: 9.72797586719897

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 407910458
  • CO2 Emissions (in grams): 9.72797586719897

Validation Metrics

  • Loss: 0.20907048881053925
  • Accuracy: 0.9119825708061002
  • Precision: 0.8912721893491125
  • Recall: 0.9563492063492064
  • AUC: 0.9698454873092555
  • F1: 0.9226646248085759

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-407910458

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("nurkayevaa/autonlp-bert-covid-407910458", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("nurkayevaa/autonlp-bert-covid-407910458", use_auth_token=True)

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

outputs = model(**inputs)