README.md

metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepesh0x/autotrain-data-finetunedmodel1
co2_eq_emissions: 29.194903746653306

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1034535555
• CO2 Emissions (in grams): 29.194903746653306

Validation Metrics

• Loss: 0.16423887014389038
• Accuracy: 0.9402375649591685
• Precision: 0.94876254180602
• Recall: 0.9438381687516636
• AUC: 0.9843968335444757
• F1: 0.9462939488958569

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/deepesh0x/autotrain-finetunedmodel1-1034535555

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-finetunedmodel1-1034535555", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-finetunedmodel1-1034535555", use_auth_token=True)

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

outputs = model(**inputs)