 model = AutoModelForSeq2SeqLM.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL

 
 tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL
{}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

 model = AutoModelForSeq2SeqLM.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL

 
 tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL
# M3 MODEL

 
 tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # M3 MODEL

 
 tokenizer = AutoTokenizer.from_pretrained("fabiochiu/t5-small-medium-title-generation")# M3 MODEL