metadata

tags: autonlp
language: es
widget:
  - text: >-
      Y si me tomo una cerveza Vuelves a mi cabeza Y empiezo a recordarte Es que
      me gusta cómo besas Con tu delicadeza Puede ser que Tú y yo, somos el uno
      para el otro Que no dejo de pensarte Quise olvidarte y tomé un poco Y
      resultó extrañarte, yeah
datasets:
  - hectorcotelo/autonlp-data-spanish_songs

Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 202661

Validation Metrics

Loss: 1.5369086265563965
Accuracy: 0.30762817840766987
Macro F1: 0.28034259092597485
Micro F1: 0.30762817840766987
Weighted F1: 0.28072818168048186
Macro Precision: 0.3113843896292072
Micro Precision: 0.30762817840766987
Weighted Precision: 0.3128459166476807
Macro Recall: 0.3071652685939504
Micro Recall: 0.30762817840766987
Weighted Recall: 0.30762817840766987

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/hectorcotelo/autonlp-spanish_songs-202661

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hectorcotelo/autonlp-spanish_songs-202661", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hectorcotelo/autonlp-spanish_songs-202661", use_auth_token=True)

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

outputs = model(**inputs)