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---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- hsaglamlar/autotrain-data-stress
co2_eq_emissions: 0.009057639447268492
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1106740293
- CO2 Emissions (in grams): 0.009057639447268492

## Validation Metrics

- Loss: 0.40180888772010803
- Accuracy: 0.8261904761904761
- Precision: 0.7195767195767195
- Recall: 0.8717948717948718
- AUC: 0.9021100427350428
- F1: 0.7884057971014493

## 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/hsaglamlar/autotrain-stress-1106740293
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hsaglamlar/autotrain-stress-1106740293", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hsaglamlar/autotrain-stress-1106740293", use_auth_token=True)

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

outputs = model(**inputs)
```