KES
/

ENG-TEC

Text2Text Generation

Trinidadian Creole

Caribbean dialect

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

KES commited on Oct 4, 2022

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8cd7d48

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1 Parent(s): 886dfa8

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@@ -22,7 +22,7 @@ ___
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 tokenizer = AutoTokenizer.from_pretrained("KES/ENG-TEC")
 model = AutoModelForSeq2SeqLM.from_pretrained("KES/ENG-TEC")
-text = "Where you going now?"
 inputs = tokenizer("eng:"+text, truncation=True, return_tensors='pt')
 output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True)
 translation=tokenizer.batch_decode(output, skip_special_tokens=True)

 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 tokenizer = AutoTokenizer.from_pretrained("KES/ENG-TEC")
 model = AutoModelForSeq2SeqLM.from_pretrained("KES/ENG-TEC")
+text = "Where are you going now?"
 inputs = tokenizer("eng:"+text, truncation=True, return_tensors='pt')
 output = model.generate(inputs['input_ids'], num_beams=4, max_length=512, early_stopping=True)
 translation=tokenizer.batch_decode(output, skip_special_tokens=True)