aryaumesh
/

tf_model

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aryaumesh commited on Nov 2, 2024

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@@ -12,7 +12,7 @@ model_checkpoint = "aryaumesh/tf_model"
 tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
-text  = "Wishing you all a very good morning"
 tokenized = tokenizer([text], return_tensors='np') # Convert input text to numerical format first
 out = model.generate(**tokenized, max_length=128) # Performs translation

 tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 model = TFAutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
+text  = "This is a test case."
 tokenized = tokenizer([text], return_tensors='np') # Convert input text to numerical format first
 out = model.generate(**tokenized, max_length=128) # Performs translation