metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain
datasets:
  - DarwinAnim8or/autotrain-data-offensivespeechdetector
co2_eq_emissions:
  emissions: 0.010817089812320756

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 82680142077
CO2 Emissions (in grams): 0.0108

Validation Metrics

Loss: 0.497
Accuracy: 0.747
Macro F1: 0.709
Micro F1: 0.747
Weighted F1: 0.741
Macro Precision: 0.722
Micro Precision: 0.747
Weighted Precision: 0.740
Macro Recall: 0.702
Micro Recall: 0.747
Weighted Recall: 0.747

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/DarwinAnim8or/autotrain-offensivespeechdetector-82680142077

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("DarwinAnim8or/autotrain-offensivespeechdetector-82680142077", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/autotrain-offensivespeechdetector-82680142077", use_auth_token=True)

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

outputs = model(**inputs)