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letran1110/vit5_motor_extractorT5ForConditionalGenerationVietAI/vit5-base1from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
2
3tokenizer = AutoTokenizer.from_pretrained("letran1110/vit5_motor_extractor")
4model = AutoModelForSeq2SeqLM.from_pretrained("letran1110/vit5_motor_extractor")
5
6text = "Động cơ 3 pha 5.5kW, 4 cực, điện áp 380V, vỏ nhôm, bảo vệ IP55"
7inputs = tokenizer(text, return_tensors="pt")
8outputs = model.generate(**inputs)
9print(tokenizer.decode(outputs[0], skip_special_tokens=True))motor_namepowervoltagepolesprotectionframe_sizeshaft_diametermaterial1@misc{vit5motor2024,
2 title={ViT5 Motor Extractor},
3 author={letran1110},
4 year={2024},
5 howpublished={\url{https://huggingface.co/letran1110/vit5_motor_extractor}},
6}