README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - futuredatascience/autotrain-data-welcome_message_2
co2_eq_emissions:
  emissions: 0.5524527127969758

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 59180133582
• CO2 Emissions (in grams): 0.5525

Validation Metrics

• Loss: 0.347
• Accuracy: 0.865
• Precision: 0.852
• Recall: 0.958
• AUC: 0.814
• F1: 0.902

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/futuredatascience/autotrain-welcome_message_2-59180133582

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("futuredatascience/autotrain-welcome_message_2-59180133582", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("futuredatascience/autotrain-welcome_message_2-59180133582", use_auth_token=True)

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

outputs = model(**inputs)