---
tags:
- autotrain
- text-regression
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- orange6996/autotrain-data-testtextexists
co2_eq_emissions:
  emissions: 0.3550338626114656
---

# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 1966366048
- CO2 Emissions (in grams): 0.3550

## Validation Metrics

- Loss: 4911.982
- MSE: 4911.981
- MAE: 68.106
- R2: -16.962
- RMSE: 70.086
- Explained Variance: -0.000

## 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/orange6996/autotrain-testtextexists-1966366048
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)

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

outputs = model(**inputs)
```