README.md

metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Luojike/autotrain-data-test_3
co2_eq_emissions: 0.03985401798934018

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1071537591
• CO2 Emissions (in grams): 0.03985401798934018

Validation Metrics

• Loss: 0.5283975601196289
• Accuracy: 0.7389705882352942
• Precision: 0.5032894736842105
• Recall: 0.3574766355140187
• AUC: 0.7135599403856304
• F1: 0.41803278688524587

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/Luojike/autotrain-test_3-1071537591

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Luojike/autotrain-test_3-1071537591", use_auth_token=True)

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

outputs = model(**inputs)