README.md

---
tags:
- autotrain
- text-regression
language:
- es
widget:
- text: "I love AutoTrain 🤗"
datasets:
- tizan25/autotrain-data-twitter-currency-regression
co2_eq_emissions:
  emissions: 5.819688265631011
---

# 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)
```