autonlp-auto-nlp-lyrics-classification-19333717 – AI Model by adrianmoses | AlphaNeural AI

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adrianmoses/
autonlp-auto-nlp-lyrics-classification-19333717

like

0

text-classification

adrianmoses/autonlp-data-auto-nlp-lyrics-classification

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 19333717
CO2 Emissions (in grams): 88.89388195672073

Validation Metrics

Loss: 1.0499154329299927
Accuracy: 0.6207088513638894
Macro F1: 0.46250803661544765
Micro F1: 0.6207088513638894
Weighted F1: 0.5850362079928957
Macro Precision: 0.6451479987704787
Micro Precision: 0.6207088513638894
Weighted Precision: 0.6285080101186085
Macro Recall: 0.4405680478429344
Micro Recall: 0.6207088513638894
Weighted Recall: 0.6207088513638894

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 AutoNLP"}' https://api-inference.huggingface.co/models/adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("adrianmoses/autonlp-auto-nlp-lyrics-classification-19333717", use_auth_token=True)

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

outputs = model(**inputs)