
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 778023879
- CO2 Emissions (in grams): 43.26533004662002

## Validation Metrics

- Loss: 5.475859779835446e-06
- Accuracy: 0.9999996519918594
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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/Lucifermorningstar011/autotrain-ner-778023879
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("Lucifermorningstar011/autotrain-ner-778023879", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Lucifermorningstar011/autotrain-ner-778023879", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["Lucifermorningstar011/autotrain-data-ner"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 43.26533004662002}
transformers pytorch distilbert token-classification autotrain en dataset:Lucifermorningstar011/autotrain-data-ner co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-ner #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 778023879
- CO2 Emissions (in grams): 43.26533004662002

## Validation Metrics

- Loss: 5.475859779835446e-06
- Accuracy: 0.9999996519918594
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 778023879
- CO2 Emissions (in grams): 43.26533004662002 ## Validation Metrics

- Loss: 5.475859779835446e-06
- Accuracy: 0.9999996519918594
- Precision: 0.0
- Recall: 0.0
- F1: 0.0 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-ner #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 778023879
- CO2 Emissions (in grams): 43.26533004662002 ## Validation Metrics

- Loss: 5.475859779835446e-06
- Accuracy: 0.9999996519918594
- Precision: 0.0
- Recall: 0.0
- F1: 0.0 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-Lucifermorningstar011/autotrain-data-ner #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 778023879
- CO2 Emissions (in grams): 43.26533004662002## Validation Metrics

- Loss: 5.475859779835446e-06
- Accuracy: 0.9999996519918594
- Precision: 0.0
- Recall: 0.0
- F1: 0.0## Usage

You can use cURL to access this model:



Or Python API: