README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepesh0x/autotrain-data-mlsec
co2_eq_emissions: 33.183779535405364

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1013333726
• CO2 Emissions (in grams): 33.183779535405364

Validation Metrics

• Loss: 0.1998898833990097
• Accuracy: 0.9226923076923077
• Precision: 0.9269808389435525
• Recall: 0.9177134068187645
• AUC: 0.9785380985232148
• F1: 0.9223238438747907

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-mlsec-1013333726

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-mlsec-1013333726", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-mlsec-1013333726", use_auth_token=True)

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

outputs = model(**inputs)