---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- masifayub/autotrain-data-PAN
co2_eq_emissions: 7.17945527948844
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 976832386
- CO2 Emissions (in grams): 7.17945527948844

## Validation Metrics

- Loss: 0.4892439842224121
- Accuracy: 0.7591666666666667
- Precision: 0.8088978766430738
- Recall: 0.8888888888888888
- AUC: 0.7550212962962962
- F1: 0.8470089994706194

## 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/masifayub/autotrain-PAN-976832386
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("masifayub/autotrain-PAN-976832386", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("masifayub/autotrain-PAN-976832386", use_auth_token=True)

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

outputs = model(**inputs)
```