
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54689127880
- CO2 Emissions (in grams): 1.2479

## Validation Metrics

- Loss: 0.514
- Accuracy: 0.768
- Precision: 0.734
- Recall: 0.765
- AUC: 0.827
- F1: 0.749

## 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/denis-gordeev/autotrain-insightful_keywords_2-54689127880
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("denis-gordeev/autotrain-insightful_keywords_2-54689127880", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("denis-gordeev/autotrain-insightful_keywords_2-54689127880", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["denis-gordeev/autotrain-data-insightful_keywords_2"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 1.2479206832856347}}
transformers pytorch bert text-classification autotrain en dataset:denis-gordeev/autotrain-data-insightful_keywords_2 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-denis-gordeev/autotrain-data-insightful_keywords_2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54689127880
- CO2 Emissions (in grams): 1.2479

## Validation Metrics

- Loss: 0.514
- Accuracy: 0.768
- Precision: 0.734
- Recall: 0.765
- AUC: 0.827
- F1: 0.749

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54689127880
- CO2 Emissions (in grams): 1.2479 ## Validation Metrics

- Loss: 0.514
- Accuracy: 0.768
- Precision: 0.734
- Recall: 0.765
- AUC: 0.827
- F1: 0.749 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-denis-gordeev/autotrain-data-insightful_keywords_2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 54689127880
- CO2 Emissions (in grams): 1.2479 ## Validation Metrics

- Loss: 0.514
- Accuracy: 0.768
- Precision: 0.734
- Recall: 0.765
- AUC: 0.827
- F1: 0.749 ## Usage

You can use cURL to access this model:



Or Python API: