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indobert-sentiment-analysis
dafex/indobert-sentiment-analysis
indobert-sentiment-analysis is a text classification model from dafex. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 2713480683 - CO2 Emissions (in grams): 1.3428
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Repo size
885 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 3, 2023
- Updated
- Jan 3, 2023
- SHA
- 7ce4b37c
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 2713480683
- CO2 Emissions (in grams): 1.3428
Validation Metrics
- Loss: 0.132
- Accuracy: 0.960
- Precision: 0.966
- Recall: 0.973
- AUC: 0.993
- F1: 0.969
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/dafex/autotrain-indobert-sentiment-analysis-2713480683
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("dafex/autotrain-indobert-sentiment-analysis-2713480683", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("dafex/autotrain-indobert-sentiment-analysis-2713480683", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Jan 3, 2023
- Updated
- Jan 3, 2023