autotrain-car-review-project-966432121 – AI Model by qualitydatalab | AlphaNeural AI

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qualitydatalab/
autotrain-car-review-project-966432121

like

0

text-classification

qualitydatalab/autotrain-data-car-review-project

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 966432121
CO2 Emissions (in grams): 0.21529888368377176

Validation Metrics

Loss: 0.6013365983963013
Accuracy: 0.737791286727457
Macro F1: 0.729171012281939
Micro F1: 0.737791286727457
Weighted F1: 0.729171012281939
Macro Precision: 0.7313770127538427
Micro Precision: 0.737791286727457
Weighted Precision: 0.7313770127538428
Macro Recall: 0.737791286727457
Micro Recall: 0.737791286727457
Weighted Recall: 0.737791286727457

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 driving this car"}' https://api-inference.huggingface.co/models/qualitydatalab/autotrain-car-review-project-966432121

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

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

outputs = model(**inputs)