
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 3698798560
- CO2 Emissions (in grams): 5.8197

## Validation Metrics

- Loss: 7.583
- MSE: 7.583
- MAE: 1.332
- R2: 0.005
- RMSE: 2.754
- Explained Variance: 0.005

## 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/tizan25/autotrain-twitter-currency-regression-3698798560
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("tizan25/autotrain-twitter-currency-regression-3698798560", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("tizan25/autotrain-twitter-currency-regression-3698798560", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["es"], "tags": ["autotrain", "text-regression"], "datasets": ["tizan25/autotrain-data-twitter-currency-regression"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 5.819688265631011}}
transformers pytorch bert text-classification autotrain text-regression es dataset:tizan25/autotrain-data-twitter-currency-regression co2_eq_emissions autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #es #dataset-tizan25/autotrain-data-twitter-currency-regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 3698798560
- CO2 Emissions (in grams): 5.8197

## Validation Metrics

- Loss: 7.583
- MSE: 7.583
- MAE: 1.332
- R2: 0.005
- RMSE: 2.754
- Explained Variance: 0.005

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 3698798560
- CO2 Emissions (in grams): 5.8197 ## Validation Metrics

- Loss: 7.583
- MSE: 7.583
- MAE: 1.332
- R2: 0.005
- RMSE: 2.754
- Explained Variance: 0.005 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #es #dataset-tizan25/autotrain-data-twitter-currency-regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 3698798560
- CO2 Emissions (in grams): 5.8197 ## Validation Metrics

- Loss: 7.583
- MSE: 7.583
- MAE: 1.332
- R2: 0.005
- RMSE: 2.754
- Explained Variance: 0.005 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #es #dataset-tizan25/autotrain-data-twitter-currency-regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 3698798560
- CO2 Emissions (in grams): 5.8197## Validation Metrics

- Loss: 7.583
- MSE: 7.583
- MAE: 1.332
- R2: 0.005
- RMSE: 2.754
- Explained Variance: 0.005## Usage

You can use cURL to access this model:



Or Python API: