
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 61675134842
- CO2 Emissions (in grams): 0.3012

## Validation Metrics

- Loss: 0.130
- Accuracy: 0.960
- Precision: 0.949
- Recall: 0.972
- AUC: 0.992
- F1: 0.960

## 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/Mantas/autotrain-finbert-61675134842
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Mantas/autotrain-finbert-61675134842", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Mantas/autotrain-finbert-61675134842", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["unk"], "tags": ["autotrain", "text-classification"], "datasets": ["Mantas/autotrain-data-finbert"], "widget": [{"text": "I love AutoTrain"}], "co2_eq_emissions": {"emissions": 0.30123820373366667}}
transformers pytorch safetensors bert text-classification autotrain unk dataset:Mantas/autotrain-data-finbert co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #autotrain #unk #dataset-Mantas/autotrain-data-finbert #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 61675134842
- CO2 Emissions (in grams): 0.3012

## Validation Metrics

- Loss: 0.130
- Accuracy: 0.960
- Precision: 0.949
- Recall: 0.972
- AUC: 0.992
- F1: 0.960

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 61675134842
- CO2 Emissions (in grams): 0.3012 ## Validation Metrics

- Loss: 0.130
- Accuracy: 0.960
- Precision: 0.949
- Recall: 0.972
- AUC: 0.992
- F1: 0.960 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #safetensors #bert #text-classification #autotrain #unk #dataset-Mantas/autotrain-data-finbert #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 61675134842
- CO2 Emissions (in grams): 0.3012 ## Validation Metrics

- Loss: 0.130
- Accuracy: 0.960
- Precision: 0.949
- Recall: 0.972
- AUC: 0.992
- F1: 0.960 ## Usage

You can use cURL to access this model:



Or Python API: