
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1300449813
- CO2 Emissions (in grams): 0.0120

## Validation Metrics

- Loss: 1.004
- Accuracy: 0.710
- Precision: 0.542
- Recall: 0.413
- F1: 0.468

## 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/nguyenkhoa2407/autotrain-default_model_favsbot_data-1300449813
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("nguyenkhoa2407/autotrain-default_model_favsbot_data-1300449813", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("nguyenkhoa2407/autotrain-default_model_favsbot_data-1300449813", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "token-classification"], "datasets": ["nguyenkhoa2407/autotrain-data-default_model_favsbot_data"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.012034916031396342}}
transformers pytorch bert token-classification autotrain en dataset:nguyenkhoa2407/autotrain-data-default_model_favsbot_data co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-nguyenkhoa2407/autotrain-data-default_model_favsbot_data #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1300449813
- CO2 Emissions (in grams): 0.0120

## Validation Metrics

- Loss: 1.004
- Accuracy: 0.710
- Precision: 0.542
- Recall: 0.413
- F1: 0.468

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1300449813
- CO2 Emissions (in grams): 0.0120 ## Validation Metrics

- Loss: 1.004
- Accuracy: 0.710
- Precision: 0.542
- Recall: 0.413
- F1: 0.468 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-nguyenkhoa2407/autotrain-data-default_model_favsbot_data #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1300449813
- CO2 Emissions (in grams): 0.0120 ## Validation Metrics

- Loss: 1.004
- Accuracy: 0.710
- Precision: 0.542
- Recall: 0.413
- F1: 0.468 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #bert #token-classification #autotrain #en #dataset-nguyenkhoa2407/autotrain-data-default_model_favsbot_data #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1300449813
- CO2 Emissions (in grams): 0.0120## Validation Metrics

- Loss: 1.004
- Accuracy: 0.710
- Precision: 0.542
- Recall: 0.413
- F1: 0.468## Usage

You can use cURL to access this model:



Or Python API: