
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 47972117032
- CO2 Emissions (in grams): 0.3643

## Validation Metrics

- Loss: 0.129
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000

## 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/Mulik/autotrain-theclassify-47972117032
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Mulik/autotrain-theclassify-47972117032", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Mulik/autotrain-theclassify-47972117032", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "token-classification"], "datasets": ["Mulik/autotrain-data-theclassify"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.36426999639102003}}
transformers pytorch bert token-classification autotrain en dataset:Mulik/autotrain-data-theclassify co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-Mulik/autotrain-data-theclassify #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 47972117032
- CO2 Emissions (in grams): 0.3643

## Validation Metrics

- Loss: 0.129
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 47972117032
- CO2 Emissions (in grams): 0.3643 ## Validation Metrics

- Loss: 0.129
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000 ## Usage

You can use cURL to access this model:



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

- Problem type: Entity Extraction
- Model ID: 47972117032
- CO2 Emissions (in grams): 0.3643 ## Validation Metrics

- Loss: 0.129
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000 ## Usage

You can use cURL to access this model:



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

- Problem type: Entity Extraction
- Model ID: 47972117032
- CO2 Emissions (in grams): 0.3643## Validation Metrics

- Loss: 0.129
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- F1: 1.000## Usage

You can use cURL to access this model:



Or Python API: