Transformers
PyTorch
TensorFlow
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use LinaR/Prediccion_titulos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LinaR/Prediccion_titulos with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LinaR/Prediccion_titulos") model = AutoModelForSeq2SeqLM.from_pretrained("LinaR/Prediccion_titulos") - Notebooks
- Google Colab
- Kaggle
Prediccion_titulos
Este modelo predice los encabezados de las noticias
Model description
Este modelo fue entrenado con un Transformador T5 y una base de datos en español
Intended uses & limitations
More information needed
Training and evaluation data
Los datos fueron tomado del siguiente dataset de Kaggle : https://www.kaggle.com/datasets/josemamuiz/noticias-laraznpblico, el cual es un conjunto de datos se extrajo de las webs de periódicos españoles
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1
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