
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1480954206
- CO2 Emissions (in grams): 2.4476

## Validation Metrics

- Loss: 0.552
- Accuracy: 0.725
- Precision: 0.685
- Recall: 0.833
- AUC: 0.798
- F1: 0.752

## 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/yiwuanwow/autotrain-anli-1480954206
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yiwuanwow/autotrain-anli-1480954206", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yiwuanwow/autotrain-anli-1480954206", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["yiwuanwow/autotrain-data-anli"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": {"emissions": 2.44759580195597}}
transformers pytorch autotrain text-classification en dataset:yiwuanwow/autotrain-data-anli co2_eq_emissions endpoints_compatible region:us
TAGS
#transformers #pytorch #autotrain #text-classification #en #dataset-yiwuanwow/autotrain-data-anli #co2_eq_emissions #endpoints_compatible #region-us 


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1480954206
- CO2 Emissions (in grams): 2.4476

## Validation Metrics

- Loss: 0.552
- Accuracy: 0.725
- Precision: 0.685
- Recall: 0.833
- AUC: 0.798
- F1: 0.752

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1480954206
- CO2 Emissions (in grams): 2.4476 ## Validation Metrics

- Loss: 0.552
- Accuracy: 0.725
- Precision: 0.685
- Recall: 0.833
- AUC: 0.798
- F1: 0.752 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #autotrain #text-classification #en #dataset-yiwuanwow/autotrain-data-anli #co2_eq_emissions #endpoints_compatible #region-us 
 # Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1480954206
- CO2 Emissions (in grams): 2.4476 ## Validation Metrics

- Loss: 0.552
- Accuracy: 0.725
- Precision: 0.685
- Recall: 0.833
- AUC: 0.798
- F1: 0.752 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #autotrain #text-classification #en #dataset-yiwuanwow/autotrain-data-anli #co2_eq_emissions #endpoints_compatible #region-us 
# Model Trained Using AutoTrain

- Problem type: Binary Classification
- Model ID: 1480954206
- CO2 Emissions (in grams): 2.4476## Validation Metrics

- Loss: 0.552
- Accuracy: 0.725
- Precision: 0.685
- Recall: 0.833
- AUC: 0.798
- F1: 0.752## Usage

You can use cURL to access this model:



Or Python API: