
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 164469

## Validation Metrics

- Loss: 0.05527503043413162
- Accuracy: 0.9853049228508449
- Precision: 0.991044776119403
- Recall: 0.9793510324483776
- AUC: 0.9966895139869654
- F1: 0.9851632047477745

## 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 AutoNLP"}' https://api-inference.huggingface.co/models/Shuvam/autonlp-college_classification-164469
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Shuvam/autonlp-college_classification-164469", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Shuvam/autonlp-college_classification-164469", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "en", "tags": "autonlp", "datasets": ["Shuvam/autonlp-data-college_classification"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}]}
transformers pytorch jax bert text-classification autonlp en dataset:Shuvam/autonlp-data-college_classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #en #dataset-Shuvam/autonlp-data-college_classification #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 164469

## Validation Metrics

- Loss: 0.05527503043413162
- Accuracy: 0.9853049228508449
- Precision: 0.991044776119403
- Recall: 0.9793510324483776
- AUC: 0.9966895139869654
- F1: 0.9851632047477745

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 164469 ## Validation Metrics

- Loss: 0.05527503043413162
- Accuracy: 0.9853049228508449
- Precision: 0.991044776119403
- Recall: 0.9793510324483776
- AUC: 0.9966895139869654
- F1: 0.9851632047477745 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #en #dataset-Shuvam/autonlp-data-college_classification #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 164469 ## Validation Metrics

- Loss: 0.05527503043413162
- Accuracy: 0.9853049228508449
- Precision: 0.991044776119403
- Recall: 0.9793510324483776
- AUC: 0.9966895139869654
- F1: 0.9851632047477745 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #en #dataset-Shuvam/autonlp-data-college_classification #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 164469## Validation Metrics

- Loss: 0.05527503043413162
- Accuracy: 0.9853049228508449
- Precision: 0.991044776119403
- Recall: 0.9793510324483776
- AUC: 0.9966895139869654
- F1: 0.9851632047477745## Usage

You can use cURL to access this model:



Or Python API: