README.md

---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- crcb/autotrain-data-dvs
co2_eq_emissions: 5.1746636998598445
---

# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 753223051
- CO2 Emissions (in grams): 5.1746636998598445

## Validation Metrics

- Loss: 0.14639143645763397
- Accuracy: 0.9493645350010087
- Precision: 0.5460992907801419
- Recall: 0.2916666666666667
- AUC: 0.8843542768404266
- F1: 0.3802469135802469

## 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/crcb/autotrain-dvs-753223051
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-dvs-753223051", use_auth_token=True)

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

outputs = model(**inputs)
```