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Download README.md from prismdata/korean-gpt-quick-test: direct link, hf CLI and curl.
- Browser
- Download file 592 Bytes
-
https://huggingface.co/prismdata/korean-gpt-quick-test/resolve/main/README.md
- Command line
-
hf download hf://prismdata/korean-gpt-quick-test/README.md
-
curl -L -o README.md https://huggingface.co/prismdata/korean-gpt-quick-test/resolve/main/README.md
592 Bytes
Korean GPT
한국어 GPT 모델입니다.
사용법
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained(
"oz1115/korean-gpt-quick-test",
trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
"oz1115/korean-gpt-quick-test",
trust_remote_code=True
)
inputs = tokenizer("안녕하세요", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0]))
모델 정보
- Vocabulary: 32,000
- Hidden Size: 512
- Layers: 8
- Attention Heads: 8