
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787

## Validation Metrics

- Loss: 0.12777526676654816
- Accuracy: 0.9823625038850627
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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/Lucifermorningstar011/autotrain-final-784824213
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Lucifermorningstar011/autotrain-final-784824213", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Lucifermorningstar011/autotrain-final-784824213", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["Lucifermorningstar011/autotrain-data-final"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 443.62532415086787}
transformers pytorch bert token-classification autotrain en dataset:Lucifermorningstar011/autotrain-data-final co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-final #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787

## Validation Metrics

- Loss: 0.12777526676654816
- Accuracy: 0.9823625038850627
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787 ## Validation Metrics

- Loss: 0.12777526676654816
- Accuracy: 0.9823625038850627
- Precision: 0.0
- Recall: 0.0
- F1: 0.0 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-final #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787 ## Validation Metrics

- Loss: 0.12777526676654816
- Accuracy: 0.9823625038850627
- Precision: 0.0
- Recall: 0.0
- F1: 0.0 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-final #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787## Validation Metrics

- Loss: 0.12777526676654816
- Accuracy: 0.9823625038850627
- Precision: 0.0
- Recall: 0.0
- F1: 0.0## Usage

You can use cURL to access this model:



Or Python API: