
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 63449135459
- CO2 Emissions (in grams): 4.7204

## Validation Metrics

- Loss: 0.375
- Accuracy: 0.852
- Precision: 0.866
- Recall: 0.893
- AUC: 0.906
- F1: 0.879

## 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/0xYuan/autotrain-b-63449135459
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("0xYuan/autotrain-b-63449135459", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("0xYuan/autotrain-b-63449135459", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["zh"], "tags": ["autotrain", "text-classification"], "datasets": ["0xYuan/autotrain-data-b"], "widget": [{"text": "I love AutoTrain"}], "co2_eq_emissions": {"emissions": 4.720376981365927}}
transformers pytorch safetensors bert text-classification autotrain zh dataset:0xYuan/autotrain-data-b co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #autotrain #zh #dataset-0xYuan/autotrain-data-b #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 63449135459
- CO2 Emissions (in grams): 4.7204

## Validation Metrics

- Loss: 0.375
- Accuracy: 0.852
- Precision: 0.866
- Recall: 0.893
- AUC: 0.906
- F1: 0.879

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 63449135459
- CO2 Emissions (in grams): 4.7204 ## Validation Metrics

- Loss: 0.375
- Accuracy: 0.852
- Precision: 0.866
- Recall: 0.893
- AUC: 0.906
- F1: 0.879 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #safetensors #bert #text-classification #autotrain #zh #dataset-0xYuan/autotrain-data-b #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 63449135459
- CO2 Emissions (in grams): 4.7204 ## Validation Metrics

- Loss: 0.375
- Accuracy: 0.852
- Precision: 0.866
- Recall: 0.893
- AUC: 0.906
- F1: 0.879 ## Usage

You can use cURL to access this model:



Or Python API: