README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - crcb/autotrain-data-hate_speech
co2_eq_emissions: 5.301132895184483

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 752122994
• CO2 Emissions (in grams): 5.301132895184483

Validation Metrics

• Loss: 0.7107211351394653
• Accuracy: 0.7529411764705882
• Precision: 0.7502287282708143
• Recall: 0.9177392277560157
• AUC: 0.8358316393336287
• F1: 0.8255726151522779

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/crcb/autotrain-hate_speech-752122994

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-hate_speech-752122994", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-hate_speech-752122994", use_auth_token=True)

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

outputs = model(**inputs)