
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 30516963
- CO2 Emissions (in grams): 30.684995819386277

## Validation Metrics

- Loss: 0.08340361714363098
- Accuracy: 0.9688222161294113
- Precision: 0.9102096627164995
- Recall: 0.7692604006163328
- AUC: 0.9859340458715813
- F1: 0.8338204592901879

## 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/abhishek/autonlp-toxic-new-30516963
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-toxic-new-30516963", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-toxic-new-30516963", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autonlp", "datasets": ["abhishek/autonlp-data-toxic-new"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 30.684995819386277}
transformers pytorch distilbert text-classification autonlp en dataset:abhishek/autonlp-data-toxic-new co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-abhishek/autonlp-data-toxic-new #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 30516963
- CO2 Emissions (in grams): 30.684995819386277

## Validation Metrics

- Loss: 0.08340361714363098
- Accuracy: 0.9688222161294113
- Precision: 0.9102096627164995
- Recall: 0.7692604006163328
- AUC: 0.9859340458715813
- F1: 0.8338204592901879

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 30516963
- CO2 Emissions (in grams): 30.684995819386277 ## Validation Metrics

- Loss: 0.08340361714363098
- Accuracy: 0.9688222161294113
- Precision: 0.9102096627164995
- Recall: 0.7692604006163328
- AUC: 0.9859340458715813
- F1: 0.8338204592901879 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-abhishek/autonlp-data-toxic-new #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 30516963
- CO2 Emissions (in grams): 30.684995819386277 ## Validation Metrics

- Loss: 0.08340361714363098
- Accuracy: 0.9688222161294113
- Precision: 0.9102096627164995
- Recall: 0.7692604006163328
- AUC: 0.9859340458715813
- F1: 0.8338204592901879 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-abhishek/autonlp-data-toxic-new #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 30516963
- CO2 Emissions (in grams): 30.684995819386277## Validation Metrics

- Loss: 0.08340361714363098
- Accuracy: 0.9688222161294113
- Precision: 0.9102096627164995
- Recall: 0.7692604006163328
- AUC: 0.9859340458715813
- F1: 0.8338204592901879## Usage

You can use cURL to access this model:



Or Python API: