
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1444253725
- CO2 Emissions (in grams): 0.0098

## Validation Metrics

- Loss: 0.082
- Accuracy: 0.980
- Precision: 0.743
- Recall: 0.778
- F1: 0.760

## 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/YilinWang42/autotrain-trial-run-1444253725
```

Or Python API:

```
from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained("YilinWang42/autotrain-trial-run-1444253725", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("YilinWang42/autotrain-trial-run-1444253725", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["unk"], "tags": ["autotrain", "token-classification"], "datasets": ["YilinWang42/autotrain-data-trial-run"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 0.00977392698077684}}
transformers pytorch autotrain token-classification unk dataset:YilinWang42/autotrain-data-trial-run co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #pytorch #autotrain #token-classification #unk #dataset-YilinWang42/autotrain-data-trial-run #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1444253725
- CO2 Emissions (in grams): 0.0098

## Validation Metrics

- Loss: 0.082
- Accuracy: 0.980
- Precision: 0.743
- Recall: 0.778
- F1: 0.760

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1444253725
- CO2 Emissions (in grams): 0.0098 ## Validation Metrics

- Loss: 0.082
- Accuracy: 0.980
- Precision: 0.743
- Recall: 0.778
- F1: 0.760 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #autotrain #token-classification #unk #dataset-YilinWang42/autotrain-data-trial-run #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1444253725
- CO2 Emissions (in grams): 0.0098 ## Validation Metrics

- Loss: 0.082
- Accuracy: 0.980
- Precision: 0.743
- Recall: 0.778
- F1: 0.760 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #autotrain #token-classification #unk #dataset-YilinWang42/autotrain-data-trial-run #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Entity Extraction
- Model ID: 1444253725
- CO2 Emissions (in grams): 0.0098## Validation Metrics

- Loss: 0.082
- Accuracy: 0.980
- Precision: 0.743
- Recall: 0.778
- F1: 0.760## Usage

You can use cURL to access this model:



Or Python API: