This model was fine-tuned to “translate” any English text into 17th-century style English.

The name comes from the dataset used for fine-tuning. Namely, modern Bible text as input and and the famous King James Bible as the output.

To test, use “kingify: “ at the beginning of anything you want to translate.

Generally, it does a good job and phrases, concepts, and vocabulary that may appear in the Bible. If not, the will likely just modify the grammar and other words while leaving the word with an unknown 17th-century equivalent.
{"license": "apache-2.0"}
transformers pytorch t5 text2text-generation license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

This model was fine-tuned to “translate” any English text into 17th-century style English.

The name comes from the dataset used for fine-tuning. Namely, modern Bible text as input and and the famous King James Bible as the output.

To test, use “kingify: “ at the beginning of anything you want to translate.

Generally, it does a good job and phrases, concepts, and vocabulary that may appear in the Bible. If not, the will likely just modify the grammar and other words while leaving the word with an unknown 17th-century equivalent.
TAGS
#transformers #pytorch #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
