README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - cjbarrie/autotrain-data-traintest-sentiment-split
co2_eq_emissions: 3.1566482249518177

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1024534825
• CO2 Emissions (in grams): 3.1566482249518177

Validation Metrics

• Loss: 0.5167999267578125
• Accuracy: 0.7523809523809524
• Precision: 0.7377049180327869
• Recall: 0.5555555555555556
• AUC: 0.8142525600535937
• F1: 0.6338028169014086

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/cjbarrie/autotrain-traintest-sentiment-split-1024534825

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534825", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534825", use_auth_token=True)

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

outputs = model(**inputs)