README.md

metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepesh0x/autotrain-data-glue1
co2_eq_emissions: 3.869994913020229

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1046836019
• CO2 Emissions (in grams): 3.869994913020229

Validation Metrics

• Loss: 0.626447856426239
• Accuracy: 0.6606574761399788
• Precision: 0.6925845932325414
• Recall: 0.8187234042553192
• AUC: 0.656404823892031
• F1: 0.750390015600624

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-glue1-1046836019

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-glue1-1046836019", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-glue1-1046836019", use_auth_token=True)

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

outputs = model(**inputs)