README.md

metadata

tags: autotrain
language: en
widget:
  - text: Jerimee
    example_title: a weird human name
  - text: Curtastica
    example_title: a goblin name
  - text: Fatima
    example_title: a common human name
datasets:
  - Jerimee/autotrain-data-dontknowwhatImdoing
co2_eq_emissions: 0.012147398577917884

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 980432459
• CO2 Emissions (in grams): 0.012147398577917884

Validation Metrics

• Loss: 0.0469294898211956
• Accuracy: 0.9917355371900827
• Precision: 0.9936708860759493
• Recall: 0.9936708860759493
• AUC: 0.9990958408679927
• F1: 0.9936708860759493

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/Jerimee/autotrain-dontknowwhatImdoing-980432459

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Jerimee/autotrain-dontknowwhatImdoing-980432459", use_auth_token=True)

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

outputs = model(**inputs)