---
tags:
- autotrain
- text-classification
language:
- ar
widget:
- text: "I love AutoTrain"
datasets:
- dru-acrps/autotrain-data-dru-text-classification-v2
co2_eq_emissions:
  emissions: 1.5695373677362612
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 85440142814
- CO2 Emissions (in grams): 1.5695

## Validation Metrics

- Loss: 0.504
- Accuracy: 0.853
- Macro F1: 0.836
- Micro F1: 0.853
- Weighted F1: 0.853
- Macro Precision: 0.844
- Micro Precision: 0.853
- Weighted Precision: 0.854
- Macro Recall: 0.830
- Micro Recall: 0.853
- Weighted Recall: 0.853


## 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/dru-acrps/autotrain-dru-text-classification-v2-85440142814
```

Or Python API:

```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dru-acrps/autotrain-dru-text-classification-v2-85440142814", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dru-acrps/autotrain-dru-text-classification-v2-85440142814", use_auth_token=True)

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

outputs = model(**inputs)
```