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:
- 29d8d197141adc2db0b0b09cd0b0bee149184f56af006013e9f33de23e7afb9d
- Size of remote file:
- 242 MB
- SHA256:
- cd99c0b090a661edd11a6a6f1e3bb049ae93372dfcdd8e55f3447fcc63bfeb74
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