---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- intellisr/autotrain-data-twitterMbti
co2_eq_emissions: 0.3313142450338848
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848

## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908


## 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/intellisr/autotrain-twitterMbti-758223271
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

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

outputs = model(**inputs)
```