
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 51081121367
- CO2 Emissions (in grams): 0.4192

## Validation Metrics

- Loss: 0.189
- Accuracy: 0.951
- Precision: 0.000
- Recall: 0.000
- F1: 0.000

## 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/peanutacake/autotrain-historic-fi-51081121367
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("peanutacake/autotrain-historic-fi-51081121367", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("peanutacake/autotrain-historic-fi-51081121367", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["fi"], "tags": ["autotrain", "token-classification"], "datasets": ["peanutacake/autotrain-data-historic-fi"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.41919224521906834}}
transformers pytorch bert token-classification autotrain fi dataset:peanutacake/autotrain-data-historic-fi co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain #fi #dataset-peanutacake/autotrain-data-historic-fi #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 51081121367
- CO2 Emissions (in grams): 0.4192

## Validation Metrics

- Loss: 0.189
- Accuracy: 0.951
- Precision: 0.000
- Recall: 0.000
- F1: 0.000

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 51081121367
- CO2 Emissions (in grams): 0.4192 ## Validation Metrics

- Loss: 0.189
- Accuracy: 0.951
- Precision: 0.000
- Recall: 0.000
- F1: 0.000 ## Usage

You can use cURL to access this model:



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

- Problem type: Entity Extraction
- Model ID: 51081121367
- CO2 Emissions (in grams): 0.4192 ## Validation Metrics

- Loss: 0.189
- Accuracy: 0.951
- Precision: 0.000
- Recall: 0.000
- F1: 0.000 ## Usage

You can use cURL to access this model:



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

- Problem type: Entity Extraction
- Model ID: 51081121367
- CO2 Emissions (in grams): 0.4192## Validation Metrics

- Loss: 0.189
- Accuracy: 0.951
- Precision: 0.000
- Recall: 0.000
- F1: 0.000## Usage

You can use cURL to access this model:



Or Python API: