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Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 18753417
  • CO2 Emissions (in grams): 112.75546781635975

Validation Metrics

  • Loss: 0.9065971970558167
  • Accuracy: 0.6680274633512711
  • Macro F1: 0.5384854358272774
  • Micro F1: 0.6680274633512711
  • Weighted F1: 0.6414749238882866
  • Macro Precision: 0.6744495173269196
  • Micro Precision: 0.6680274633512711
  • Weighted Precision: 0.6634090047492259
  • Macro Recall: 0.5078466493896978
  • Micro Recall: 0.6680274633512711
  • Weighted Recall: 0.6680274633512711

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-18753417

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("juliensimon/autonlp-song-lyrics-18753417", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("juliensimon/autonlp-song-lyrics-18753417", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train juliensimon/autonlp-song-lyrics-18753417

Space using juliensimon/autonlp-song-lyrics-18753417