
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3171489424
- CO2 Emissions (in grams): 1.5063

## Validation Metrics

- Loss: 0.339
- Accuracy: 0.848
- Precision: 0.679
- Recall: 0.721
- AUC: 0.906
- F1: 0.700

## 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/scy99/autotrain-todo-3171489424
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("scy99/autotrain-todo-3171489424", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("scy99/autotrain-todo-3171489424", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["zh"], "tags": ["autotrain", "text-classification"], "datasets": ["scy99/autotrain-data-todo"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 1.5063043935583178}}
transformers pytorch electra text-classification autotrain zh dataset:scy99/autotrain-data-todo co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #text-classification #autotrain #zh #dataset-scy99/autotrain-data-todo #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3171489424
- CO2 Emissions (in grams): 1.5063

## Validation Metrics

- Loss: 0.339
- Accuracy: 0.848
- Precision: 0.679
- Recall: 0.721
- AUC: 0.906
- F1: 0.700

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3171489424
- CO2 Emissions (in grams): 1.5063 ## Validation Metrics

- Loss: 0.339
- Accuracy: 0.848
- Precision: 0.679
- Recall: 0.721
- AUC: 0.906
- F1: 0.700 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #electra #text-classification #autotrain #zh #dataset-scy99/autotrain-data-todo #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3171489424
- CO2 Emissions (in grams): 1.5063 ## Validation Metrics

- Loss: 0.339
- Accuracy: 0.848
- Precision: 0.679
- Recall: 0.721
- AUC: 0.906
- F1: 0.700 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #electra #text-classification #autotrain #zh #dataset-scy99/autotrain-data-todo #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 3171489424
- CO2 Emissions (in grams): 1.5063## Validation Metrics

- Loss: 0.339
- Accuracy: 0.848
- Precision: 0.679
- Recall: 0.721
- AUC: 0.906
- F1: 0.700## Usage

You can use cURL to access this model:



Or Python API: