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astarostap
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autonlp-antisemitism-2-21194454

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
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autonlp-antisemitism-2-21194454 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - astarostap/autonlp-data-antisemitism-2
co2_eq_emissions: 2.0686690092905224

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 21194454
  • CO2 Emissions (in grams): 2.0686690092905224

Validation Metrics

  • Loss: 0.5291365385055542
  • Accuracy: 0.7572692793931732
  • Precision: 0.7126948775055679
  • Recall: 0.835509138381201
  • AUC: 0.8185826549941126
  • F1: 0.7692307692307693

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/astarostap/autonlp-antisemitism-2-21194454

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True)

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

outputs = model(**inputs)