README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - masifayub/autotrain-data-PAN
co2_eq_emissions: 7.17945527948844

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 976832386
• CO2 Emissions (in grams): 7.17945527948844

Validation Metrics

• Loss: 0.4892439842224121
• Accuracy: 0.7591666666666667
• Precision: 0.8088978766430738
• Recall: 0.8888888888888888
• AUC: 0.7550212962962962
• F1: 0.8470089994706194

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/masifayub/autotrain-PAN-976832386

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("masifayub/autotrain-PAN-976832386", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("masifayub/autotrain-PAN-976832386", use_auth_token=True)

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

outputs = model(**inputs)