
In this example model, I want to test how to summarize a short text due a very very small corpus of data used to train it. The data contains two columns: Text and Summary. This model was created in python through Google Colab interface, with the hugging face librarys for this task.

Diego Villada
{"license": "cc-by-4.0"}
transformers pytorch t5 text2text-generation license:cc-by-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


In this example model, I want to test how to summarize a short text due a very very small corpus of data used to train it. The data contains two columns: Text and Summary. This model was created in python through Google Colab interface, with the hugging face librarys for this task.

Diego Villada
TAGS
#transformers #pytorch #t5 #text2text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #text2text-generation #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
