abhibheema/T5Validation

Getting started

!pip install transformers

from transformers import T5ForConditionalGeneration, T5Tokenizer

Load the model and tokenizer from the directory where they are saved

model = T5ForConditionalGeneration.from_pretrained('abhibheema/T5Validation')
tokenizer = T5Tokenizer.from_pretrained('abhibheema/T5Validation')

sample_input = """input text""" input_ids = tokenizer.encode(sample_input, return_tensors="pt")

Generate output

with torch.no_grad(): output_ids = model.generate(input_ids, max_new_tokens=512) output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)

Print the result

print("Generated Output:", output_text)

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