carer_5way – AI Model by crcb | AlphaNeural AI

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crcb/
carer_5way

like

0

text-classification

crcb/autotrain-data-carer_5way

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 786524275
CO2 Emissions (in grams): 4.164757528958762

Validation Metrics

Loss: 0.16724252700805664
Accuracy: 0.944234404536862
Macro F1: 0.9437256923758108
Micro F1: 0.9442344045368619
Weighted F1: 0.9442368364749825
Macro Precision: 0.9431692663638349
Micro Precision: 0.944234404536862
Weighted Precision: 0.9446229335037916
Macro Recall: 0.9446884750469657
Micro Recall: 0.944234404536862
Weighted Recall: 0.944234404536862

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/crcb/autotrain-carer_5way-786524275

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-carer_5way-786524275", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-carer_5way-786524275", use_auth_token=True)

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

outputs = model(**inputs)