
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 53413125973
- CO2 Emissions (in grams): 1.2160

## Validation Metrics

- Loss: 0.109
- Accuracy: 0.976
- 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-ajmc_ner_de-53413125973
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("peanutacake/autotrain-ajmc_ner_de-53413125973", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("peanutacake/autotrain-ajmc_ner_de-53413125973", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["de"], "tags": ["autotrain", "token-classification"], "datasets": ["peanutacake/autotrain-data-ajmc_ner_de"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 1.2159543426004786}}
transformers pytorch electra token-classification autotrain de dataset:peanutacake/autotrain-data-ajmc_ner_de co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #token-classification #autotrain #de #dataset-peanutacake/autotrain-data-ajmc_ner_de #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 53413125973
- CO2 Emissions (in grams): 1.2160

## Validation Metrics

- Loss: 0.109
- Accuracy: 0.976
- 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: 53413125973
- CO2 Emissions (in grams): 1.2160 ## Validation Metrics

- Loss: 0.109
- Accuracy: 0.976
- Precision: 0.000
- Recall: 0.000
- F1: 0.000 ## Usage

You can use cURL to access this model:



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

- Problem type: Entity Extraction
- Model ID: 53413125973
- CO2 Emissions (in grams): 1.2160 ## Validation Metrics

- Loss: 0.109
- Accuracy: 0.976
- Precision: 0.000
- Recall: 0.000
- F1: 0.000 ## Usage

You can use cURL to access this model:



Or Python API: