
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 3660397715
- CO2 Emissions (in grams): 1.1909

## Validation Metrics

- Loss: 0.119
- Accuracy: 0.957
- Precision: 0.669
- Recall: 0.733
- F1: 0.700

## 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/Andrei95/autotrain-jobbert-8-3660397715
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Andrei95/autotrain-jobbert-8-3660397715", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Andrei95/autotrain-jobbert-8-3660397715", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["unk"], "tags": ["autotrain", "token-classification"], "datasets": ["Andrei95/autotrain-data-jobbert-8"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 1.1908989501428253}}
transformers pytorch bert token-classification autotrain unk dataset:Andrei95/autotrain-data-jobbert-8 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain #unk #dataset-Andrei95/autotrain-data-jobbert-8 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 3660397715
- CO2 Emissions (in grams): 1.1909

## Validation Metrics

- Loss: 0.119
- Accuracy: 0.957
- Precision: 0.669
- Recall: 0.733
- F1: 0.700

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 3660397715
- CO2 Emissions (in grams): 1.1909 ## Validation Metrics

- Loss: 0.119
- Accuracy: 0.957
- Precision: 0.669
- Recall: 0.733
- F1: 0.700 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #token-classification #autotrain #unk #dataset-Andrei95/autotrain-data-jobbert-8 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 3660397715
- CO2 Emissions (in grams): 1.1909 ## Validation Metrics

- Loss: 0.119
- Accuracy: 0.957
- Precision: 0.669
- Recall: 0.733
- F1: 0.700 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #bert #token-classification #autotrain #unk #dataset-Andrei95/autotrain-data-jobbert-8 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 3660397715
- CO2 Emissions (in grams): 1.1909## Validation Metrics

- Loss: 0.119
- Accuracy: 0.957
- Precision: 0.669
- Recall: 0.733
- F1: 0.700## Usage

You can use cURL to access this model:



Or Python API: