Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use RodMed0709/Modelo_Resumen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RodMed0709/Modelo_Resumen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RodMed0709/Modelo_Resumen") model = AutoModelForSeq2SeqLM.from_pretrained("RodMed0709/Modelo_Resumen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b97f85516ef26f9a9475f8f612d838ffaa460fd0ba9056b66af48868e0139fd7
- Size of remote file:
- 5.05 kB
- SHA256:
- a36b3ad4683d785e5bc099000b1aa6f6a82859e4af5dce53371478a95b20ee9f
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