Modelpublic

bbiasi/analise_sentimento_bahia_marketing

sourceHugging Faceupdated 3y agoView on Hugging Face

0likes8downloads

Model Card

Model Trained Using AutoTrain

—Problem type: Binary Classification
—Model ID: 51605122225
—CO2 Emissions (in grams): 0.0061

Validation Metrics

—Loss: 0.370
—Accuracy: 0.826
—Precision: 0.845
—Recall: 0.920
—AUC: 0.899
—F1: 0.880

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/bbiasi/autotrain-sentimental_analysis_bit-51605122225

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bbiasi/autotrain-sentimental_analysis_bit-51605122225", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bbiasi/autotrain-sentimental_analysis_bit-51605122225", use_auth_token=True)

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

outputs = model(**inputs)