README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - crcb/autotrain-data-dvs
co2_eq_emissions: 5.1746636998598445

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 753223051
• CO2 Emissions (in grams): 5.1746636998598445

Validation Metrics

• Loss: 0.14639143645763397
• Accuracy: 0.9493645350010087
• Precision: 0.5460992907801419
• Recall: 0.2916666666666667
• AUC: 0.8843542768404266
• F1: 0.3802469135802469

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/crcb/autotrain-dvs-753223051

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

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

outputs = model(**inputs)