---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "Negra melodia que vem do sangue do coração"
datasets:
- leofn3/autotrain-data-racismo-sandbox
co2_eq_emissions:
  emissions: 0.9388908689973346
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 72132138873
- CO2 Emissions (in grams): 0.9389

## Validation Metrics

- Loss: 0.562
- Accuracy: 0.833
- Precision: 1.000
- Recall: 0.667
- AUC: 0.901
- F1: 0.800

## 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/leofn3/autotrain-racismo-sandbox-72132138873
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("leofn3/autotrain-racismo-sandbox-72132138873", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("leofn3/autotrain-racismo-sandbox-72132138873", use_auth_token=True)

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

outputs = model(**inputs)
```