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nthanhha26
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autotrain-test-project-879428192

Text Classification
Transformers
PyTorch
Enawené-Nawé
roberta
Trained with AutoTrain
Inference Endpoints
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autotrain-test-project-879428192 / README.md
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metadata
tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - nthanhha26/autotrain-data-test-project
co2_eq_emissions: 13.170344687762716

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 879428192
  • CO2 Emissions (in grams): 13.170344687762716

Validation Metrics

  • Loss: 0.06465228646993637
  • Accuracy: 0.9796652588768966
  • Precision: 0.9843385538153949
  • Recall: 0.993943472409152
  • AUC: 0.9855992605071237
  • F1: 0.9891176963000168

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 AutoTrain"}' https://api-inference.huggingface.co/models/nthanhha26/autotrain-test-project-879428192

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("nthanhha26/autotrain-test-project-879428192", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("nthanhha26/autotrain-test-project-879428192", use_auth_token=True)

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

outputs = model(**inputs)