
# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 633018323
- CO2 Emissions (in grams): 3.622203603306694

## Validation Metrics

- Loss: 0.681106686592102
- Accuracy: 0.709136109384711
- Macro F1: 0.6987186860138147
- Micro F1: 0.709136109384711
- Weighted F1: 0.7059639788836748
- Macro Precision: 0.7174345617951404
- Micro Precision: 0.709136109384711
- Weighted Precision: 0.712710833401347
- Macro Recall: 0.6912117894374218
- Micro Recall: 0.709136109384711
- Weighted Recall: 0.709136109384711


## 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/DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("DrishtiSharma/autonlp-Text-Classification-Catalonia-Independence-AutoNLP-633018323", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autonlp", "datasets": ["DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 3.622203603306694}
transformers pytorch bert text-classification autonlp en dataset:DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autonlp #en #dataset-DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 633018323
- CO2 Emissions (in grams): 3.622203603306694

## Validation Metrics

- Loss: 0.681106686592102
- Accuracy: 0.709136109384711
- Macro F1: 0.6987186860138147
- Micro F1: 0.709136109384711
- Weighted F1: 0.7059639788836748
- Macro Precision: 0.7174345617951404
- Micro Precision: 0.709136109384711
- Weighted Precision: 0.712710833401347
- Macro Recall: 0.6912117894374218
- Micro Recall: 0.709136109384711
- Weighted Recall: 0.709136109384711


## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 633018323
- CO2 Emissions (in grams): 3.622203603306694 ## Validation Metrics

- Loss: 0.681106686592102
- Accuracy: 0.709136109384711
- Macro F1: 0.6987186860138147
- Micro F1: 0.709136109384711
- Weighted F1: 0.7059639788836748
- Macro Precision: 0.7174345617951404
- Micro Precision: 0.709136109384711
- Weighted Precision: 0.712710833401347
- Macro Recall: 0.6912117894374218
- Micro Recall: 0.709136109384711
- Weighted Recall: 0.709136109384711 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #text-classification #autonlp #en #dataset-DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 633018323
- CO2 Emissions (in grams): 3.622203603306694 ## Validation Metrics

- Loss: 0.681106686592102
- Accuracy: 0.709136109384711
- Macro F1: 0.6987186860138147
- Micro F1: 0.709136109384711
- Weighted F1: 0.7059639788836748
- Macro Precision: 0.7174345617951404
- Micro Precision: 0.709136109384711
- Weighted Precision: 0.712710833401347
- Macro Recall: 0.6912117894374218
- Micro Recall: 0.709136109384711
- Weighted Recall: 0.709136109384711 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #text-classification #autonlp #en #dataset-DrishtiSharma/autonlp-data-Text-Classification-Catalonia-Independence-AutoNLP #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Multi-class Classification
- Model ID: 633018323
- CO2 Emissions (in grams): 3.622203603306694## Validation Metrics

- Loss: 0.681106686592102
- Accuracy: 0.709136109384711
- Macro F1: 0.6987186860138147
- Micro F1: 0.709136109384711
- Weighted F1: 0.7059639788836748
- Macro Precision: 0.7174345617951404
- Micro Precision: 0.709136109384711
- Weighted Precision: 0.712710833401347
- Macro Recall: 0.6912117894374218
- Micro Recall: 0.709136109384711
- Weighted Recall: 0.709136109384711## Usage

You can use cURL to access this model:



Or Python API: