README.md

metadata

tags: autotrain
language: zh
widget:
  - text: I love AutoTrain 🤗
datasets:
  - EAST/autotrain-data-maysix
co2_eq_emissions: 0.00258669198292644

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 828926405
• CO2 Emissions (in grams): 0.00258669198292644

Validation Metrics

• Loss: 0.1797131597995758
• Accuracy: 0.9318181818181818
• Precision: 0.9047619047619048
• Recall: 0.95
• AUC: 0.9875
• F1: 0.9268292682926829

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/EAST/autotrain-maysix-828926405

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("EAST/autotrain-maysix-828926405", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("EAST/autotrain-maysix-828926405", use_auth_token=True)

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

outputs = model(**inputs)