
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 990032813
- CO2 Emissions (in grams): 1.52810485048449

## Validation Metrics

- Loss: 0.7393798828125
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- AUC: 0.0
- F1: 0.6666666666666666

## 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/liux3790/autotrain-journals-covid-990032813
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("liux3790/autotrain-journals-covid-990032813", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("liux3790/autotrain-journals-covid-990032813", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["liux3790/autotrain-data-journals-covid"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 1.52810485048449}
transformers pytorch bert text-classification autotrain en dataset:liux3790/autotrain-data-journals-covid co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-liux3790/autotrain-data-journals-covid #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 990032813
- CO2 Emissions (in grams): 1.52810485048449

## Validation Metrics

- Loss: 0.7393798828125
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- AUC: 0.0
- F1: 0.6666666666666666

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 990032813
- CO2 Emissions (in grams): 1.52810485048449 ## Validation Metrics

- Loss: 0.7393798828125
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- AUC: 0.0
- F1: 0.6666666666666666 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-liux3790/autotrain-data-journals-covid #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 990032813
- CO2 Emissions (in grams): 1.52810485048449 ## Validation Metrics

- Loss: 0.7393798828125
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- AUC: 0.0
- F1: 0.6666666666666666 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-liux3790/autotrain-data-journals-covid #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 990032813
- CO2 Emissions (in grams): 1.52810485048449## Validation Metrics

- Loss: 0.7393798828125
- Accuracy: 0.5
- Precision: 0.5
- Recall: 1.0
- AUC: 0.0
- F1: 0.6666666666666666## Usage

You can use cURL to access this model:



Or Python API: