
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572

## Validation Metrics

- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779

## 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/Johny201/autotrain-article_pred-1142742075
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Johny201/autotrain-article_pred-1142742075", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["Johny201/autotrain-data-article_pred"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 3.973071565343572}
transformers pytorch roberta text-classification autotrain en dataset:Johny201/autotrain-data-article_pred co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain #en #dataset-Johny201/autotrain-data-article_pred #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572

## Validation Metrics

- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572 ## Validation Metrics

- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #roberta #text-classification #autotrain #en #dataset-Johny201/autotrain-data-article_pred #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572 ## Validation Metrics

- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #roberta #text-classification #autotrain #en #dataset-Johny201/autotrain-data-article_pred #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1142742075
- CO2 Emissions (in grams): 3.973071565343572## Validation Metrics

- Loss: 0.6098461151123047
- Accuracy: 0.7227722772277227
- Precision: 0.6805555555555556
- Recall: 0.9074074074074074
- AUC: 0.7480299448384554
- F1: 0.7777777777777779## Usage

You can use cURL to access this model:



Or Python API: