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Model Type: Transformer-based Language Model

Languages: English and Korean

Model Description

This fine-tuning approach allows the model to adapt to specific tasks or datasets with a minimal number of additional parameters, making it efficient and effective for specialized applications.

how to use - sample code

from transformers import AutoConfig, AutoModel, AutoTokenizer

config = AutoConfig.from_pretrained("4yo1/llama")
model = AutoModel.from_pretrained("4yo1/llama")
tokenizer = AutoTokenizer.from_pretrained("4yo1/llama")

datasets:

  • 4yo1/llama3_test1

license: mit

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