---
tags:
- autotrain
- text-regression
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- MichaelS91/autotrain-data-hub_testing
co2_eq_emissions:
  emissions: 1.5911364056652006
---

# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 75008139803
- CO2 Emissions (in grams): 1.5911

## Validation Metrics

- Loss: 1.889
- MSE: 1.889
- MAE: 1.094
- R2: 0.221
- RMSE: 1.374
- Explained Variance: 0.242

## 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/MichaelS91/autotrain-hub_testing-75008139803
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)

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

outputs = model(**inputs)
```