readme: ---
  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)
  ```