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---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- cjbarrie/autotrain-data-traintest-sentiment-split
co2_eq_emissions: 2.288443953210163
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1024534822
- CO2 Emissions (in grams): 2.288443953210163

## Validation Metrics

- Loss: 0.5510443449020386
- Accuracy: 0.7619047619047619
- Precision: 0.6761363636363636
- Recall: 0.7345679012345679
- AUC: 0.7936883912336109
- F1: 0.7041420118343196

## 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-1024534822
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)

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

outputs = model(**inputs)
```