ihgn/similar-questions

from transformers import pipeline

Load the model from the Hugging Face Model Hub

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("ihgn/similar-questions")
model = AutoModelForSeq2SeqLM.from_pretrained("ihgn/similar-questions")
model = pipeline("text2text-generation", model=model_name)

Configure the generation parameters

generation_config = {
    "max_length": 512,
    "num_beams": 1,
    "top_k": 50,
    "top_p": 0.92,
    "do_sample": True,
    "num_return_sequences": 1
}

Generate text using the configured parameters

input_text= "Your input text goes here."
input_ids = tokenizer.encode(input_text, return_tensors="pt")
generated_ids = model(input_ids, **generation_config)
generated_text = tokenizer.decode(generated_ids.squeeze(), skip_special_tokens=True)

Print the generated text

print(generated_text)