
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1275448782
- CO2 Emissions (in grams): 0.0469

## Validation Metrics

- Loss: 0.256
- Accuracy: 0.900
- Precision: 0.891
- Recall: 0.913
- AUC: 0.965
- F1: 0.902

## 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/sasha/autotrain-DistilBERT-imdb-1275448782
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-DistilBERT-imdb-1275448782", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-DistilBERT-imdb-1275448782", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["unk"], "tags": ["autotrain", "text-classification"], "datasets": ["sasha/autotrain-data-DistilBERT-imdb"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.04687419137564709}}
transformers pytorch distilbert text-classification autotrain unk dataset:sasha/autotrain-data-DistilBERT-imdb co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #unk #dataset-sasha/autotrain-data-DistilBERT-imdb #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1275448782
- CO2 Emissions (in grams): 0.0469

## Validation Metrics

- Loss: 0.256
- Accuracy: 0.900
- Precision: 0.891
- Recall: 0.913
- AUC: 0.965
- F1: 0.902

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1275448782
- CO2 Emissions (in grams): 0.0469 ## Validation Metrics

- Loss: 0.256
- Accuracy: 0.900
- Precision: 0.891
- Recall: 0.913
- AUC: 0.965
- F1: 0.902 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #unk #dataset-sasha/autotrain-data-DistilBERT-imdb #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1275448782
- CO2 Emissions (in grams): 0.0469 ## Validation Metrics

- Loss: 0.256
- Accuracy: 0.900
- Precision: 0.891
- Recall: 0.913
- AUC: 0.965
- F1: 0.902 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #text-classification #autotrain #unk #dataset-sasha/autotrain-data-DistilBERT-imdb #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1275448782
- CO2 Emissions (in grams): 0.0469## Validation Metrics

- Loss: 0.256
- Accuracy: 0.900
- Precision: 0.891
- Recall: 0.913
- AUC: 0.965
- F1: 0.902## Usage

You can use cURL to access this model:



Or Python API: