Modelpublic

mkhairil/autotrain-text-sentiment-indonlu-smse-2885384370

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—fine tuned with indonlp/indonlu dataset. (10000 rows from https://huggingface.co/datasets/indonlp/indonlu/viewer/smsa/train)
—Model ID: 2885384370
—CO2 Emissions (in grams): 5.3951

Validation Metrics

—Loss: 0.270
—Accuracy: 0.900
—Macro F1: 0.866
—Micro F1: 0.900
—Weighted F1: 0.899
—Macro Precision: 0.874
—Micro Precision: 0.900
—Weighted Precision: 0.899
—Macro Recall: 0.859
—Micro Recall: 0.900
—Weighted Recall: 0.900

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/mkhairil/autotrain-text-sentiment-indonlu-smse-2885384370

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("mkhairil/autotrain-text-sentiment-indonlu-smse-2885384370", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("mkhairil/autotrain-text-sentiment-indonlu-smse-2885384370", use_auth_token=True)

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

outputs = model(**inputs)