isear_bert – AI Model by crcb | AlphaNeural AI | AlphaNeural AI

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crcb/
isear_bert

like

0

text-classification

crcb/autotrain-data-isear_bert

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 786224257
CO2 Emissions (in grams): 0.026027055434994496

Validation Metrics

Loss: 0.8348872065544128
Accuracy: 0.7272727272727273
Macro F1: 0.7230931630686932
Micro F1: 0.7272727272727273
Weighted F1: 0.7236599456423468
Macro Precision: 0.7328252157220334
Micro Precision: 0.7272727272727273
Weighted Precision: 0.7336599708829821
Macro Recall: 0.7270448163292604
Micro Recall: 0.7272727272727273
Weighted Recall: 0.7272727272727273

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-isear_bert-786224257

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-isear_bert-786224257", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-isear_bert-786224257", use_auth_token=True)

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

outputs = model(**inputs)