README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepesh0x/autotrain-data-finetunedmodelbert
co2_eq_emissions: 7.1805069109958835

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1034335535
• CO2 Emissions (in grams): 7.1805069109958835

Validation Metrics

• Loss: 0.05866553634405136
• Accuracy: 0.9793615441722346
• Precision: 0.9811170212765957
• Recall: 0.9819004524886877
• AUC: 0.9976735725727466
• F1: 0.9815085805507516

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-finetunedmodelbert-1034335535

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-finetunedmodelbert-1034335535", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-finetunedmodelbert-1034335535", use_auth_token=True)

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

outputs = model(**inputs)