
# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59362

## Validation Metrics

- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704982427
- Recall: 0.9842171959602166
- AUC: 0.9667289746092403
- F1: 0.9737009564152002

## 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-59362
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("abhishek/autonlp-japanese-sentiment-59362", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("abhishek/autonlp-japanese-sentiment-59362", 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": "I love AutoNLP \ud83e\udd17"}]}
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: 59362

## Validation Metrics

- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704982427
- Recall: 0.9842171959602166
- AUC: 0.9667289746092403
- F1: 0.9737009564152002

## Usage

You can use cURL to access this model:



Or Python API:


# Model Trained Using AutoNLP

- Problem type: Binary Classification
- Model ID: 59362 ## Validation Metrics

- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704982427
- Recall: 0.9842171959602166
- AUC: 0.9667289746092403
- F1: 0.9737009564152002 ## 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: 59362 ## Validation Metrics

- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704982427
- Recall: 0.9842171959602166
- AUC: 0.9667289746092403
- F1: 0.9737009564152002 ## 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: 59362## Validation Metrics

- Loss: 0.13092292845249176
- Accuracy: 0.9527127414314258
- Precision: 0.9634070704982427
- Recall: 0.9842171959602166
- AUC: 0.9667289746092403
- F1: 0.9737009564152002## Usage

You can use cURL to access this model:



Or Python API: