
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987

## Validation Metrics

- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545

## 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/bozelosp/autotrain-legit-keyword-668419758
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bozelosp/autotrain-legit-keyword-668419758", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["bozelosp/autotrain-data-legit-keyword"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.5745216001459987}
transformers pytorch distilbert text-classification autotrain en dataset:bozelosp/autotrain-data-legit-keyword co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #en #dataset-bozelosp/autotrain-data-legit-keyword #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987

## Validation Metrics

- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987 ## Validation Metrics

- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #en #dataset-bozelosp/autotrain-data-legit-keyword #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987 ## Validation Metrics

- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #en #dataset-bozelosp/autotrain-data-legit-keyword #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987## Validation Metrics

- Loss: 0.5012844800949097
- Accuracy: 0.8057228915662651
- Precision: 0.7627627627627628
- Recall: 0.8355263157894737
- AUC: 0.868530701754386
- F1: 0.7974882260596545## Usage

You can use cURL to access this model:



Or Python API: