
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 51696122377
- CO2 Emissions (in grams): 0.0158

## Validation Metrics

- Loss: 0.050
- MSE: 0.050
- MAE: 0.171
- R2: 0.612
- RMSE: 0.223
- Explained Variance: 0.613

## 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/Muhsabrys/autotrain-twhinlargepretweet_regression-51696122377
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Muhsabrys/autotrain-twhinlargepretweet_regression-51696122377", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Muhsabrys/autotrain-twhinlargepretweet_regression-51696122377", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["unk"], "tags": ["autotrain", "text-regression"], "datasets": ["Muhsabrys/autotrain-data-twhinlargepretweet_regression"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.01584310747510509}}
transformers pytorch bert text-classification autotrain text-regression unk dataset:Muhsabrys/autotrain-data-twhinlargepretweet_regression co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #unk #dataset-Muhsabrys/autotrain-data-twhinlargepretweet_regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 51696122377
- CO2 Emissions (in grams): 0.0158

## Validation Metrics

- Loss: 0.050
- MSE: 0.050
- MAE: 0.171
- R2: 0.612
- RMSE: 0.223
- Explained Variance: 0.613

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 51696122377
- CO2 Emissions (in grams): 0.0158 ## Validation Metrics

- Loss: 0.050
- MSE: 0.050
- MAE: 0.171
- R2: 0.612
- RMSE: 0.223
- Explained Variance: 0.613 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #unk #dataset-Muhsabrys/autotrain-data-twhinlargepretweet_regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 51696122377
- CO2 Emissions (in grams): 0.0158 ## Validation Metrics

- Loss: 0.050
- MSE: 0.050
- MAE: 0.171
- R2: 0.612
- RMSE: 0.223
- Explained Variance: 0.613 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #text-regression #unk #dataset-Muhsabrys/autotrain-data-twhinlargepretweet_regression #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 51696122377
- CO2 Emissions (in grams): 0.0158## Validation Metrics

- Loss: 0.050
- MSE: 0.050
- MAE: 0.171
- R2: 0.612
- RMSE: 0.223
- Explained Variance: 0.613## Usage

You can use cURL to access this model:



Or Python API: