
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 649919118
- CO2 Emissions (in grams): 0.3996916853309825

## Validation Metrics

- Loss: 0.48289698362350464
- Accuracy: 0.8064516129032258
- Precision: 0.828125
- Recall: 0.8833333333333333
- AUC: 0.8353535353535354
- F1: 0.8548387096774193

## 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/msamogh/autonlp-cai-out-of-scope-649919118
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919118", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("msamogh/autonlp-cai-out-of-scope-649919118", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autonlp", "datasets": ["msamogh/autonlp-data-cai-out-of-scope"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 0.3996916853309825}
transformers pytorch distilbert text-classification autonlp en dataset:msamogh/autonlp-data-cai-out-of-scope co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-msamogh/autonlp-data-cai-out-of-scope #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 649919118
- CO2 Emissions (in grams): 0.3996916853309825

## Validation Metrics

- Loss: 0.48289698362350464
- Accuracy: 0.8064516129032258
- Precision: 0.828125
- Recall: 0.8833333333333333
- AUC: 0.8353535353535354
- F1: 0.8548387096774193

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 649919118
- CO2 Emissions (in grams): 0.3996916853309825 ## Validation Metrics

- Loss: 0.48289698362350464
- Accuracy: 0.8064516129032258
- Precision: 0.828125
- Recall: 0.8833333333333333
- AUC: 0.8353535353535354
- F1: 0.8548387096774193 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-msamogh/autonlp-data-cai-out-of-scope #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 649919118
- CO2 Emissions (in grams): 0.3996916853309825 ## Validation Metrics

- Loss: 0.48289698362350464
- Accuracy: 0.8064516129032258
- Precision: 0.828125
- Recall: 0.8833333333333333
- AUC: 0.8353535353535354
- F1: 0.8548387096774193 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #en #dataset-msamogh/autonlp-data-cai-out-of-scope #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 649919118
- CO2 Emissions (in grams): 0.3996916853309825## Validation Metrics

- Loss: 0.48289698362350464
- Accuracy: 0.8064516129032258
- Precision: 0.828125
- Recall: 0.8833333333333333
- AUC: 0.8353535353535354
- F1: 0.8548387096774193## Usage

You can use cURL to access this model:



Or Python API: