README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - unjustify/autotrain-data-commonsense_1
co2_eq_emissions: 4.355285184457145

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 696121179
• CO2 Emissions (in grams): 4.355285184457145

Validation Metrics

• Loss: 0.34467628598213196
• Accuracy: 0.8544333807491702
• Precision: 0.9014251781472684
• Recall: 0.7721261444557477
• AUC: 0.9422766967397805
• F1: 0.8317808219178082

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/unjustify/autotrain-commonsense_1-696121179

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("unjustify/autotrain-commonsense_1-696121179", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("unjustify/autotrain-commonsense_1-696121179", use_auth_token=True)

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

outputs = model(**inputs)