
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 63427135534
- CO2 Emissions (in grams): 0.1864

## Validation Metrics

- Loss: 0.428
- Accuracy: 0.846
- Precision: 0.685
- Recall: 0.621
- F1: 0.652

## 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/peanutacake/autotrain-ann_nl-63427135534
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("peanutacake/autotrain-ann_nl-63427135534", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("peanutacake/autotrain-ann_nl-63427135534", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["nl"], "tags": ["autotrain", "token-classification"], "datasets": ["peanutacake/autotrain-data-ann_nl"], "widget": [{"text": "I love AutoTrain"}], "co2_eq_emissions": {"emissions": 0.18640961989795524}}
transformers pytorch safetensors bert token-classification autotrain nl dataset:peanutacake/autotrain-data-ann_nl co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #token-classification #autotrain #nl #dataset-peanutacake/autotrain-data-ann_nl #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 63427135534
- CO2 Emissions (in grams): 0.1864

## Validation Metrics

- Loss: 0.428
- Accuracy: 0.846
- Precision: 0.685
- Recall: 0.621
- F1: 0.652

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 63427135534
- CO2 Emissions (in grams): 0.1864 ## Validation Metrics

- Loss: 0.428
- Accuracy: 0.846
- Precision: 0.685
- Recall: 0.621
- F1: 0.652 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #safetensors #bert #token-classification #autotrain #nl #dataset-peanutacake/autotrain-data-ann_nl #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 63427135534
- CO2 Emissions (in grams): 0.1864 ## Validation Metrics

- Loss: 0.428
- Accuracy: 0.846
- Precision: 0.685
- Recall: 0.621
- F1: 0.652 ## Usage

You can use cURL to access this model:



Or Python API: