---
tags: autonlp
language: bn
widget:
- text: "I love AutoNLP 🤗"
datasets:
- albertvillanova/autonlp-data-baselines-indic_glue-multi_class_classification
---

# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 1351187

## Validation Metrics

- Loss: 0.46760785579681396
- Accuracy: 0.8412473423104181
- Macro F1: 0.8151341402067301
- Micro F1: 0.8412473423104181
- Weighted F1: 0.8458231431392536
- Macro Precision: 0.804355047657178
- Micro Precision: 0.8412473423104181
- Weighted Precision: 0.8606653801556983
- Macro Recall: 0.8328042776824057
- Micro Recall: 0.8412473423104181
- Weighted Recall: 0.8412473423104181


## 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 AutoNLP"}' https://api-inference.huggingface.co/models/albertvillanova/autonlp-baselines-indic_glue-multi_class_classification-1351187
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("albertvillanova/autonlp-baselines-indic_glue-multi_class_classification-1351187", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("albertvillanova/autonlp-baselines-indic_glue-multi_class_classification-1351187", use_auth_token=True)

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

outputs = model(**inputs)
```