README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - crcb/autotrain-data-dvs
co2_eq_emissions: 8.758858538967111

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 753223045
• CO2 Emissions (in grams): 8.758858538967111

Validation Metrics

• Loss: 0.14833936095237732
• Accuracy: 0.9471454508775469
• Precision: 0.5045871559633027
• Recall: 0.4166666666666667
• AUC: 0.8806422686270332
• F1: 0.4564315352697096

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-753223045

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-dvs-753223045", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-dvs-753223045", use_auth_token=True)

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

outputs = model(**inputs)