README.md

metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - borgr/autotrain-data-Trial
co2_eq_emissions: 29.801109447632996

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1053836320
• CO2 Emissions (in grams): 29.801109447632996

Validation Metrics

• Loss: 0.15506643056869507
• Accuracy: 0.9471417965850037
• Precision: 0.9513004246284501
• Recall: 0.9540857066808623
• AUC: 0.9821444563834546
• F1: 0.9526910299003323

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/borgr/autotrain-Trial-1053836320

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836320", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836320", use_auth_token=True)

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

outputs = model(**inputs)