
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65201136070
- CO2 Emissions (in grams): 0.1424

## Validation Metrics

- Loss: 0.492
- Accuracy: 0.849
- Precision: 0.834
- Recall: 0.638
- AUC: 0.872
- F1: 0.723

## 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/ejschwartz/autotrain-oo-method-test-65201136070
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["ejschwartz/autotrain-data-oo-method-test"], "widget": [{"text": "I love AutoTrain"}], "co2_eq_emissions": {"emissions": 0.14243687811211087}}
transformers pytorch safetensors deberta text-classification autotrain en dataset:ejschwartz/autotrain-data-oo-method-test co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #deberta #text-classification #autotrain #en #dataset-ejschwartz/autotrain-data-oo-method-test #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65201136070
- CO2 Emissions (in grams): 0.1424

## Validation Metrics

- Loss: 0.492
- Accuracy: 0.849
- Precision: 0.834
- Recall: 0.638
- AUC: 0.872
- F1: 0.723

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65201136070
- CO2 Emissions (in grams): 0.1424 ## Validation Metrics

- Loss: 0.492
- Accuracy: 0.849
- Precision: 0.834
- Recall: 0.638
- AUC: 0.872
- F1: 0.723 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #safetensors #deberta #text-classification #autotrain #en #dataset-ejschwartz/autotrain-data-oo-method-test #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 65201136070
- CO2 Emissions (in grams): 0.1424 ## Validation Metrics

- Loss: 0.492
- Accuracy: 0.849
- Precision: 0.834
- Recall: 0.638
- AUC: 0.872
- F1: 0.723 ## Usage

You can use cURL to access this model:



Or Python API: