YAML Metadata
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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)
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