README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - zh
widget:
  - text: I love AutoTrain 🤗
datasets:
  - paulkm/autotrain-data-lottery_prod
co2_eq_emissions:
  emissions: 11.554897545219454

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 2626879382
• CO2 Emissions (in grams): 11.5549

Validation Metrics

• Loss: 0.146
• Accuracy: 0.960
• Precision: 0.967
• Recall: 0.944
• AUC: 0.986
• F1: 0.955

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"}' /static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fpaulkm%2Fautotrain-lottery_prod-2626879382

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("paulkm/autotrain-lottery_prod-2626879382", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("paulkm/autotrain-lottery_prod-2626879382", use_auth_token=True)

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

outputs = model(**inputs)