---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- astarostap/autonlp-data-antisemitism-2
co2_eq_emissions: 2.0686690092905224
---

# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 21194454
- CO2 Emissions (in grams): 2.0686690092905224

## Validation Metrics

- Loss: 0.5291365385055542
- Accuracy: 0.7572692793931732
- Precision: 0.7126948775055679
- Recall: 0.835509138381201
- AUC: 0.8185826549941126
- F1: 0.7692307692307693

## 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/astarostap/autonlp-antisemitism-2-21194454
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True)

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

outputs = model(**inputs)
```