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Model Details

Model Untuk NLP Bahasa Indonesia

Model Description

Model Sources [optional]

Penggunaan

from transformers import pipeline
model = pipeline('fill-mask', model='kimin_nlp', tokenizer='kimin_nlp')
print(mode("Dari Sekian Kata {model.tokenizer.mask_token} Kata Ini Lah Yang Paling Berharga"))

Training Details

Penggumpulan Data Dilakukkan Menggunakan Metode Scraping dan Tokenizer Dilakukan Menggunakan Bytes-Level

Training Data

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