
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59363

## Validation Metrics

- Loss: 0.12651239335536957
- Accuracy: 0.9532079853817648
- Precision: 0.9729688278823665
- Recall: 0.9744633462616643
- AUC: 0.9717333684823413
- F1: 0.9737155136027014

## 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/abhishek/autonlp-japanese-sentiment-59363
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-japanese-sentiment-59363", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-japanese-sentiment-59363", use_auth_token=True)

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

outputs = model(**inputs)
```
{"language": "ja", "tags": "autonlp", "datasets": ["abhishek/autonlp-data-japanese-sentiment"], "widget": [{"text": "\ud83e\udd17AutoNLP\u304c\u5927\u597d\u304d\u3067\u3059"}]}
transformers pytorch jax bert text-classification autonlp ja dataset:abhishek/autonlp-data-japanese-sentiment autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #ja #dataset-abhishek/autonlp-data-japanese-sentiment #autotrain_compatible #endpoints_compatible #region-us 


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59363

## Validation Metrics

- Loss: 0.12651239335536957
- Accuracy: 0.9532079853817648
- Precision: 0.9729688278823665
- Recall: 0.9744633462616643
- AUC: 0.9717333684823413
- F1: 0.9737155136027014

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59363 ## Validation Metrics

- Loss: 0.12651239335536957
- Accuracy: 0.9532079853817648
- Precision: 0.9729688278823665
- Recall: 0.9744633462616643
- AUC: 0.9717333684823413
- F1: 0.9737155136027014 ## Usage

You can use cURL to access this model:



Or Python API:
TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #ja #dataset-abhishek/autonlp-data-japanese-sentiment #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59363 ## Validation Metrics

- Loss: 0.12651239335536957
- Accuracy: 0.9532079853817648
- Precision: 0.9729688278823665
- Recall: 0.9744633462616643
- AUC: 0.9717333684823413
- F1: 0.9737155136027014 ## Usage

You can use cURL to access this model:



Or Python API:
passage: TAGS
#transformers #pytorch #jax #bert #text-classification #autonlp #ja #dataset-abhishek/autonlp-data-japanese-sentiment #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59363## Validation Metrics

- Loss: 0.12651239335536957
- Accuracy: 0.9532079853817648
- Precision: 0.9729688278823665
- Recall: 0.9744633462616643
- AUC: 0.9717333684823413
- F1: 0.9737155136027014## Usage

You can use cURL to access this model:



Or Python API: