
# Model Trained Using AutoNLP

- Problem type: Single Column Regression
- Model ID: 172506

## Validation Metrics

- Loss: 0.03257797285914421
- MSE: 0.03257797285914421
- MAE: 0.14246532320976257
- R2: 0.9693824457290849
- RMSE: 0.18049369752407074
- Explained Variance: 0.9699198007583618

## 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 AutoNLP"}' https://api-inference.huggingface.co/models/idjotherwise/autonlp-reading_prediction-172506
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("idjotherwise/autonlp-reading_prediction-172506")

tokenizer = AutoTokenizer.from_pretrained("idjotherwise/autonlp-reading_prediction-172506")

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autonlp", "datasets": ["idjotherwise/autonlp-data-reading_prediction"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}]}
transformers pytorch jax roberta text-classification autonlp en dataset:idjotherwise/autonlp-data-reading_prediction autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #roberta #text-classification #autonlp #en #dataset-idjotherwise/autonlp-data-reading_prediction #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Single Column Regression
- Model ID: 172506

## Validation Metrics

- Loss: 0.03257797285914421
- MSE: 0.03257797285914421
- MAE: 0.14246532320976257
- R2: 0.9693824457290849
- RMSE: 0.18049369752407074
- Explained Variance: 0.9699198007583618

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Single Column Regression
- Model ID: 172506 ## Validation Metrics

- Loss: 0.03257797285914421
- MSE: 0.03257797285914421
- MAE: 0.14246532320976257
- R2: 0.9693824457290849
- RMSE: 0.18049369752407074
- Explained Variance: 0.9699198007583618 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #jax #roberta #text-classification #autonlp #en #dataset-idjotherwise/autonlp-data-reading_prediction #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Single Column Regression
- Model ID: 172506 ## Validation Metrics

- Loss: 0.03257797285914421
- MSE: 0.03257797285914421
- MAE: 0.14246532320976257
- R2: 0.9693824457290849
- RMSE: 0.18049369752407074
- Explained Variance: 0.9699198007583618 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #jax #roberta #text-classification #autonlp #en #dataset-idjotherwise/autonlp-data-reading_prediction #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Single Column Regression
- Model ID: 172506## Validation Metrics

- Loss: 0.03257797285914421
- MSE: 0.03257797285914421
- MAE: 0.14246532320976257
- R2: 0.9693824457290849
- RMSE: 0.18049369752407074
- Explained Variance: 0.9699198007583618## Usage

You can use cURL to access this model:



Or Python API: