
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 38761101898
- CO2 Emissions (in grams): 1.8249

## Validation Metrics

- Loss: 0.005
- Accuracy: 0.999
- Precision: 0.998
- Recall: 1.000
- AUC: 1.000
- F1: 0.999

## 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/systash/autotrain-fake_news_fine_tuned-38761101898
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("systash/autotrain-fake_news_fine_tuned-38761101898", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("systash/autotrain-fake_news_fine_tuned-38761101898", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["systash/autotrain-data-fake_news_fine_tuned"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 1.8249451751834358}}
transformers pytorch distilbert text-classification autotrain en dataset:systash/autotrain-data-fake_news_fine_tuned co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #en #dataset-systash/autotrain-data-fake_news_fine_tuned #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 38761101898
- CO2 Emissions (in grams): 1.8249

## Validation Metrics

- Loss: 0.005
- Accuracy: 0.999
- Precision: 0.998
- Recall: 1.000
- AUC: 1.000
- F1: 0.999

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 38761101898
- CO2 Emissions (in grams): 1.8249 ## Validation Metrics

- Loss: 0.005
- Accuracy: 0.999
- Precision: 0.998
- Recall: 1.000
- AUC: 1.000
- F1: 0.999 ## Usage

You can use cURL to access this model:



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

- Problem type: Binary Classification
- Model ID: 38761101898
- CO2 Emissions (in grams): 1.8249 ## Validation Metrics

- Loss: 0.005
- Accuracy: 0.999
- Precision: 0.998
- Recall: 1.000
- AUC: 1.000
- F1: 0.999 ## Usage

You can use cURL to access this model:



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

- Problem type: Binary Classification
- Model ID: 38761101898
- CO2 Emissions (in grams): 1.8249## Validation Metrics

- Loss: 0.005
- Accuracy: 0.999
- Precision: 0.998
- Recall: 1.000
- AUC: 1.000
- F1: 0.999## Usage

You can use cURL to access this model:



Or Python API: