---
tags: autotrain
language: fr
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ziedhajyahia/autotrain-data-ok
co2_eq_emissions: 5.096755166899446
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 848227025
- CO2 Emissions (in grams): 5.096755166899446

## Validation Metrics

- Loss: 2.1917402744293213
- Accuracy: 0.44666666666666666
- Macro F1: 0.20291677804725128
- Micro F1: 0.44666666666666666
- Weighted F1: 0.37709801275435956
- Macro Precision: 0.19919016697588127
- Micro Precision: 0.44666666666666666
- Weighted Precision: 0.3478004329004329
- Macro Recall: 0.23167713239141807
- Micro Recall: 0.44666666666666666
- Weighted Recall: 0.44666666666666666


## 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/ziedhajyahia/autotrain-ok-848227025
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ziedhajyahia/autotrain-ok-848227025", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ziedhajyahia/autotrain-ok-848227025", use_auth_token=True)

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

outputs = model(**inputs)
```