README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - bozelosp/autotrain-data-legit-keyword
co2_eq_emissions: 0.5745216001459987

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 668419758
• CO2 Emissions (in grams): 0.5745216001459987

Validation Metrics

• Loss: 0.5012844800949097
• Accuracy: 0.8057228915662651
• Precision: 0.7627627627627628
• Recall: 0.8355263157894737
• AUC: 0.868530701754386
• F1: 0.7974882260596545

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/bozelosp/autotrain-legit-keyword-668419758

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)

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

outputs = model(**inputs)