
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881

## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254

## 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/ismail-lucifer011/autotrain-company_all-903429548
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("ismail-lucifer011/autotrain-company_all-903429548", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autotrain", "datasets": ["ismail-lucifer011/autotrain-data-company_all"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.848790823793881}
transformers pytorch distilbert token-classification autotrain en dataset:ismail-lucifer011/autotrain-data-company_all co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-ismail-lucifer011/autotrain-data-company_all #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881

## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881 ## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-ismail-lucifer011/autotrain-data-company_all #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881 ## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #distilbert #token-classification #autotrain #en #dataset-ismail-lucifer011/autotrain-data-company_all #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 903429548
- CO2 Emissions (in grams): 0.848790823793881## Validation Metrics

- Loss: 0.006148040760308504
- Accuracy: 0.9979930566588805
- Precision: 0.9814944904963571
- Recall: 0.9817210885036588
- F1: 0.9816077764228254## Usage

You can use cURL to access this model:



Or Python API: