README.md

---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- MICADEE/autonlp-data-imdb-sentiment-analysis2
---

# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 7121569

## Validation Metrics

- Loss: 0.2151782214641571
- Accuracy: 0.9271
- Precision: 0.9469285415796072
- Recall: 0.9051328140603155
- AUC: 0.9804569416956057
- F1: 0.925559072807107

## 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/MICADEE/autonlp-imdb-sentiment-analysis2-7121569
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MICADEE/autonlp-imdb-sentiment-analysis2-7121569", use_auth_token=True)

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

outputs = model(**inputs)
```