juliensimon
/

autonlp-song-lyrics-18753423

Text Classification

Trained with AutoTrain

Inference Endpoints

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 18753423
CO2 Emissions (in grams): 55.552987716859484

Validation Metrics

Loss: 0.913820743560791
Accuracy: 0.654110224531453
Macro F1: 0.5327761649415296
Micro F1: 0.654110224531453
Weighted F1: 0.6339481529454227
Macro Precision: 0.6799297267808116
Micro Precision: 0.654110224531453
Weighted Precision: 0.6533459269990771
Macro Recall: 0.49907494605289154
Micro Recall: 0.654110224531453
Weighted Recall: 0.654110224531453

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/juliensimon/autonlp-song-lyrics-18753423

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("juliensimon/autonlp-song-lyrics-18753423", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-song-lyrics-18753423", use_auth_token=True)

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

outputs = model(**inputs)

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Inference Examples

Text Classification

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Dataset used to train juliensimon/autonlp-song-lyrics-18753423