---
tags: autotrain
language: bn
widget:
- text: "I love AutoTrain 🤗"
datasets:
- dee4hf/autotrain-data-deephate2
co2_eq_emissions: 7.663051290039914
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1093539673
- CO2 Emissions (in grams): 7.663051290039914

## Validation Metrics

- Loss: 0.34404119849205017
- Accuracy: 0.8843120070113936
- Macro F1: 0.8771237753798016
- Micro F1: 0.8843120070113936
- Weighted F1: 0.8843498914288083
- Macro Precision: 0.8745249813256932
- Micro Precision: 0.8843120070113936
- Weighted Precision: 0.8854719661321065
- Macro Recall: 0.8812563739901838
- Micro Recall: 0.8843120070113936
- Weighted Recall: 0.8843120070113936


## 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/dee4hf/autotrain-deephate2-1093539673
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)

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

outputs = model(**inputs)
```