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autonlp-toxic-new-30516963

Text Classification Transformers PyTorch
English distilbert Trained with AutoTrain Carbon Emissions Inference Endpoints
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autonlp-toxic-new-30516963 / README.md
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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - abhishek/autonlp-data-toxic-new
co2_eq_emissions: 30.684995819386277

Model Trained Using AutoNLP

  • Problem type: Binary Classification
  • Model ID: 30516963
  • CO2 Emissions (in grams): 30.684995819386277

Validation Metrics

  • Loss: 0.08340361714363098
  • Accuracy: 0.9688222161294113
  • Precision: 0.9102096627164995
  • Recall: 0.7692604006163328
  • AUC: 0.9859340458715813
  • F1: 0.8338204592901879

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/abhishek/autonlp-toxic-new-30516963

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-toxic-new-30516963", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-toxic-new-30516963", use_auth_token=True)

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

outputs = model(**inputs)