
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 53340125670
- CO2 Emissions (in grams): 0.5874

## Validation Metrics

- Loss: 0.365
- Accuracy: 0.850
- Precision: 0.969
- Recall: 0.723
- AUC: 0.962
- F1: 0.828

## 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/gitsagitsat/autotrain-bert-wiki-53340125670
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gitsagitsat/autotrain-bert-wiki-53340125670", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gitsagitsat/autotrain-bert-wiki-53340125670", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["gitsagitsat/autotrain-data-bert-wiki"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.5874363963158769}}
transformers pytorch bert text-classification autotrain en dataset:gitsagitsat/autotrain-data-bert-wiki co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-gitsagitsat/autotrain-data-bert-wiki #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 53340125670
- CO2 Emissions (in grams): 0.5874

## Validation Metrics

- Loss: 0.365
- Accuracy: 0.850
- Precision: 0.969
- Recall: 0.723
- AUC: 0.962
- F1: 0.828

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 53340125670
- CO2 Emissions (in grams): 0.5874 ## Validation Metrics

- Loss: 0.365
- Accuracy: 0.850
- Precision: 0.969
- Recall: 0.723
- AUC: 0.962
- F1: 0.828 ## Usage

You can use cURL to access this model:



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

- Problem type: Binary Classification
- Model ID: 53340125670
- CO2 Emissions (in grams): 0.5874 ## Validation Metrics

- Loss: 0.365
- Accuracy: 0.850
- Precision: 0.969
- Recall: 0.723
- AUC: 0.962
- F1: 0.828 ## Usage

You can use cURL to access this model:



Or Python API: