---
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: "I love AutoTrain"
datasets:
- DarwinAnim8or/autotrain-data-emoji-v3
co2_eq_emissions:
  emissions: 0.6833689692559574
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 83947142400
- CO2 Emissions (in grams): 0.6834

## Validation Metrics

- Loss: 2.339
- Accuracy: 0.216
- Macro F1: 0.136
- Micro F1: 0.216
- Weighted F1: 0.163
- Macro Precision: 0.126
- Micro Precision: 0.216
- Weighted Precision: 0.152
- Macro Recall: 0.179
- Micro Recall: 0.216
- Weighted Recall: 0.216


## 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/DarwinAnim8or/autotrain-emoji-v3-83947142400
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("DarwinAnim8or/autotrain-emoji-v3-83947142400", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("DarwinAnim8or/autotrain-emoji-v3-83947142400", use_auth_token=True)

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

outputs = model(**inputs)
```