
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848

## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908


## 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/intellisr/autotrain-twitterMbti-758223271
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["intellisr/autotrain-data-twitterMbti"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.3313142450338848}
transformers pytorch bert text-classification autotrain en dataset:intellisr/autotrain-data-twitterMbti co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-intellisr/autotrain-data-twitterMbti #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848

## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908


## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848 ## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-intellisr/autotrain-data-twitterMbti #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848 ## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #text-classification #autotrain #en #dataset-intellisr/autotrain-data-twitterMbti #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 758223271
- CO2 Emissions (in grams): 0.3313142450338848## Validation Metrics

- Loss: 1.2496932744979858
- Accuracy: 0.6438828259620908
- Macro F1: 0.5757131072506373
- Micro F1: 0.6438828259620908
- Weighted F1: 0.6401462906378685
- Macro Precision: 0.6279826743318115
- Micro Precision: 0.6438828259620908
- Weighted Precision: 0.6479595607607238
- Macro Recall: 0.5436771609966322
- Micro Recall: 0.6438828259620908
- Weighted Recall: 0.6438828259620908## Usage

You can use cURL to access this model:



Or Python API: