
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 329982

## Validation Metrics

- Loss: 0.24620144069194794
- Accuracy: 0.9300053431035799
- Precision: 0.9299029425358188
- Recall: 0.9289012003693444
- AUC: 0.9795001637755057
- F1: 0.9294018015243667

## 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/victor/autonlp-imdb-reviews-sentiment-329982
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("victor/autonlp-imdb-reviews-sentiment-329982", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("victor/autonlp-imdb-reviews-sentiment-329982", use_auth_token=True)

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

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


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 329982

## Validation Metrics

- Loss: 0.24620144069194794
- Accuracy: 0.9300053431035799
- Precision: 0.9299029425358188
- Recall: 0.9289012003693444
- AUC: 0.9795001637755057
- F1: 0.9294018015243667

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 329982 ## Validation Metrics

- Loss: 0.24620144069194794
- Accuracy: 0.9300053431035799
- Precision: 0.9299029425358188
- Recall: 0.9289012003693444
- AUC: 0.9795001637755057
- F1: 0.9294018015243667 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #roberta #text-classification #autonlp #en #dataset-victor/autonlp-data-imdb-reviews-sentiment #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 329982 ## Validation Metrics

- Loss: 0.24620144069194794
- Accuracy: 0.9300053431035799
- Precision: 0.9299029425358188
- Recall: 0.9289012003693444
- AUC: 0.9795001637755057
- F1: 0.9294018015243667 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #roberta #text-classification #autonlp #en #dataset-victor/autonlp-data-imdb-reviews-sentiment #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 329982## Validation Metrics

- Loss: 0.24620144069194794
- Accuracy: 0.9300053431035799
- Precision: 0.9299029425358188
- Recall: 0.9289012003693444
- AUC: 0.9795001637755057
- F1: 0.9294018015243667## Usage

You can use cURL to access this model:



Or Python API: