---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- philschmid/autonlp-data-tweet_eval_vs_comprehend
---

# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 3092245

## Validation Metrics

- Loss: 0.5564454197883606
- Accuracy: 0.8057705840957072
- Macro F1: 0.7536021792986777
- Micro F1: 0.8057705840957073
- Weighted F1: 0.8011390170248318
- Macro Precision: 0.7817458823222652
- Micro Precision: 0.8057705840957072
- Weighted Precision: 0.8025156844840151
- Macro Recall: 0.7369154685020982
- Micro Recall: 0.8057705840957072
- Weighted Recall: 0.8057705840957072


## 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/philschmid/autonlp-tweet_eval_vs_comprehend-3092245
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("philschmid/autonlp-tweet_eval_vs_comprehend-3092245", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("philschmid/autonlp-tweet_eval_vs_comprehend-3092245", use_auth_token=True)

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

outputs = model(**inputs)
```