Created
December 31, 2024 18:02
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from transformers import BloomForCausalLM, BloomTokenizerFast
Załaduj model i tokenizer
model = BloomForCausalLM.from_pretrained("bigscience/bloom")
tokenizer = BloomTokenizerFast.from_pretrained("bigscience/bloom")
Przykład generowania tekstu
input_text = "Hello, how are you?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(inputs["input_ids"], max_length=50)
Dekoduj wynik
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)