Copyright © 2026 Nguyễn Quốc Khánh (@KenteaKe11). All rights reserved. from transformers import AutoTokenizer, AutoModelForCausalLM repo = "KenteaKe11/KenT0.5BLLMspt" tok = AutoTokenizer.frompretrained(repo) model = AutoModelForCausalLM.frompretrained(repo, trustremotecode=True) inputs = tok("Ha Noi is the capital of Vietnam.", returntensors="pt") out = model.generate(inputs, maxnewtokens=64, temperature=0.7, topk=50, topp=0.9) print(tok.decode(out[0], skipspecialtokens=True))
Independent publisher
Nguyễn Quôc Khánh
KenteaKe11
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Models
Model License: Apache 2.0; Training Data: Trained on Wikimedia Wikipedia.; Data License Notice: The original Wikipedia dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0)..